Compare commits

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138 Commits

Author SHA1 Message Date
-LAN-
4b0d2bf57f chore: update build-push.yml to remove unnecessary tags 2024-09-04 20:20:39 +08:00
-LAN-
94432a0a69 chore: update package versions to 0.8.0-beta1 (#7979) 2024-09-04 19:56:33 +08:00
takatost
7e30487f8b feat: update dsl version 2024-09-04 19:41:43 +08:00
Yi
46634638e7 fix: refine the "isInIteration" for workflow 2024-09-04 17:45:07 +08:00
StyleZhang
44038b9628 fix: iteration copy 2024-09-04 17:26:43 +08:00
StyleZhang
c625f4282f Merge branch 'main' into feat/workflow-parallel-support 2024-09-04 15:22:57 +08:00
StyleZhang
4f5dc82459 fix 2024-09-04 15:03:35 +08:00
Yi
5cb018e15d update the method to check if a node is in iteration 2024-09-04 14:59:30 +08:00
StyleZhang
4962b2c460 check node edge 2024-09-04 13:27:17 +08:00
Yi
cd42dbdae8 update the log for iteration nodes 2024-09-04 10:27:40 +08:00
takatost
78fa1f6868 fix(workflow): detached session issues 2024-09-03 18:23:37 +08:00
Yi
6bee121ebe update log in web app 2024-09-03 17:27:32 +08:00
takatost
36d95e49b0 fix(iteration): iterator_length not correct 2024-09-03 12:01:56 +08:00
Yi
3431b19f9a update styling and iteration log 2024-09-03 11:46:04 +08:00
Yi
b28c7b1cda Merge branch 'feat/workflow-parallel-support' of github.com:langgenius/dify into feat/workflow-parallel-support 2024-09-03 10:35:15 +08:00
Yi
83343eefe6 update parallel log 2024-09-03 10:34:50 +08:00
takatost
d92966545b fix: migration 2024-09-02 22:41:08 +08:00
takatost
f71c51cb9a Merge branch 'refs/heads/main' into feat/workflow-parallel-support 2024-09-02 22:37:23 +08:00
takatost
955884b87e chore(workflow): max thread submit count 2024-09-02 20:20:32 +08:00
takatost
5ca9df65de feat(workflow): add thread pool 2024-09-02 19:02:45 +08:00
takatost
166365a502 feat(workflow): add thread pool 2024-09-02 19:02:21 +08:00
StyleZhang
70aced0100 fix 2024-09-02 18:38:21 +08:00
takatost
35d9c59a29 Merge remote-tracking branch 'origin/feat/workflow-parallel-support' into feat/workflow-parallel-support 2024-09-02 17:56:16 +08:00
takatost
bbc922dffa merge main 2024-09-02 17:55:28 +08:00
StyleZhang
7035f64ce3 fix: next step 2024-09-02 17:52:54 +08:00
takatost
81d09d471c Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/app/apps/advanced_chat/app_generator.py
#	api/core/app/apps/workflow/app_generator.py
2024-09-02 17:52:51 +08:00
takatost
5bda3a384a fix(workflow): bugs 2024-09-02 17:49:51 +08:00
StyleZhang
43240fcd41 fix 2024-09-02 14:50:05 +08:00
takatost
52b4623131 fix(workflow): fix merge branch node id err 2024-09-02 13:56:07 +08:00
takatost
0dabf799c0 fix(workflow): fix merge branch node id err 2024-09-02 11:52:14 +08:00
Yi
29b1ce781d fix: node end status 2024-09-01 22:00:54 +08:00
Yi
71a7d890cc fix styling 2024-08-30 23:31:05 +08:00
Yi
ee1587c939 fix: make the End node always nested in the root 2024-08-30 20:14:56 +08:00
Yi
d7c0ca852e feat: inner parallels will be added to its corresponding branch 2024-08-30 20:08:57 +08:00
takatost
162e9677c7 fix(workflow): missing parallel event in workflow app 2024-08-30 20:04:17 +08:00
takatost
77e62f7fee fix(workflow): run node in multi parallel bugs 2024-08-30 18:55:33 +08:00
Yi
e3295181d2 fix a typo 2024-08-30 18:01:13 +08:00
Yi
2b5b856126 solve the branch issue 2024-08-30 17:58:29 +08:00
Yi
e3ae529a55 update the onNodeFinished method for nodes being passed through more than once 2024-08-30 17:00:02 +08:00
Yi
708256ef1d Merge branch 'feat/workflow-parallel-support' of github.com:langgenius/dify into feat/workflow-parallel-support 2024-08-30 15:23:21 +08:00
StyleZhang
7c9081a8fc fix 2024-08-30 13:44:01 +08:00
Yi
1bde57e591 delete console logs 2024-08-29 17:54:26 +08:00
Yi
32a11cbb6a update the parallel workflow log for iteration and chatflow preview 2024-08-29 17:26:17 +08:00
Yi
3e257ae907 update the workflow parallel log 2024-08-29 16:38:51 +08:00
StyleZhang
f43596f226 fix: parallel branch limit 2024-08-29 11:31:34 +08:00
takatost
ae22015fe7 fix(workflow): loop check 2024-08-28 21:47:47 +08:00
takatost
790dd3b22f fix(workflow): duplicate nodes in parallel 2024-08-28 19:01:45 +08:00
takatost
5d34e080eb fix: migration 2024-08-28 18:02:49 +08:00
takatost
6b6750b9ad Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/services/app_generate_service.py
2024-08-28 18:01:57 +08:00
takatost
74c8004944 fix(graph_engine): fix execute loops in parallel 2024-08-28 17:42:42 +08:00
StyleZhang
4418fa1d2b fix: bug 2024-08-28 17:40:50 +08:00
takatost
c2bb11405f fix(workflow): parallel not yield 2024-08-28 16:13:57 +08:00
StyleZhang
8ba5673606 feat: iteration support parallel 2024-08-28 16:00:17 +08:00
takatost
b0a81c654b fix(workflow): parallel execution after if-else that only one branch runs 2024-08-28 15:53:39 +08:00
takatost
cd52633b0e fix(graph_engine): parent_parallel_id missing 2024-08-27 16:45:14 +08:00
takatost
4256e9d47f chore(iteration): keep start_node_id using in parallel start nodes 2024-08-27 16:38:33 +08:00
StyleZhang
4e3dc36e37 fix: workflow run edge status 2024-08-27 14:39:56 +08:00
takatost
b9f34f679f fix: iteration start node id 2024-08-26 22:00:17 +08:00
StyleZhang
9c8144e463 feat: parallel hover 2024-08-26 17:49:11 +08:00
takatost
76bb8d1c1a Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/services/app_generate_service.py
#	api/services/workflow_service.py
2024-08-26 16:17:19 +08:00
StyleZhang
1016db160e feat: parallel hover 2024-08-26 16:09:22 +08:00
takatost
6c61776ee1 fix test 2024-08-25 22:02:21 +08:00
takatost
4771e85630 Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/tests/integration_tests/workflow/nodes/test_code.py
#	api/tests/unit_tests/core/workflow/nodes/test_answer.py
#	api/tests/unit_tests/core/workflow/nodes/test_if_else.py
#	api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py
2024-08-24 17:26:44 +08:00
takatost
85d319719c fix end node bug 2024-08-24 17:17:18 +08:00
takatost
42899fb3be fix bug 2024-08-23 00:38:42 +08:00
takatost
5b22d8f8b2 Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/workflow/nodes/llm/llm_node.py
#	api/core/workflow/nodes/question_classifier/question_classifier_node.py
2024-08-23 00:32:28 +08:00
takatost
fe2b300288 fix lint 2024-08-22 23:54:07 +08:00
takatost
ec4fc784f0 fix iteration start node 2024-08-22 23:53:44 +08:00
takatost
d6da7b0336 fix dialogue_count 2024-08-22 13:06:17 +08:00
takatost
92072e2ed7 fix: ruff issues 2024-08-21 17:26:51 +08:00
takatost
e34497ded1 fix: merge issues 2024-08-21 17:25:26 +08:00
takatost
35be41b337 Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/app/apps/advanced_chat/app_generator.py
#	api/core/app/apps/advanced_chat/generate_task_pipeline.py
#	api/core/app/apps/workflow/app_runner.py
#	api/core/app/apps/workflow/generate_task_pipeline.py
#	api/core/app/task_pipeline/workflow_cycle_state_manager.py
#	api/core/workflow/entities/variable_pool.py
#	api/core/workflow/nodes/code/code_node.py
#	api/core/workflow/nodes/llm/llm_node.py
#	api/core/workflow/nodes/start/start_node.py
#	api/core/workflow/nodes/variable_assigner/__init__.py
#	api/tests/integration_tests/workflow/nodes/test_llm.py
#	api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
#	api/tests/unit_tests/core/workflow/nodes/test_answer.py
#	api/tests/unit_tests/core/workflow/nodes/test_if_else.py
#	api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py
2024-08-21 16:59:23 +08:00
takatost
412be6d014 fix bug 2024-08-21 16:43:00 +08:00
takatost
1d88b62e25 fix(workflow): fix node link to previous node issue 2024-08-20 23:28:11 +08:00
takatost
617ea4b3b8 fix(workflow): fix parallel bug 2024-08-20 22:16:41 +08:00
takatost
755a9658c7 fix(workflow): add parallel id into published events 2024-08-18 20:18:13 +08:00
takatost
5d7865737f fix(workflow): issues in workflow parallels 2024-08-16 22:47:58 +08:00
takatost
352c45c8a2 feat(workflow): integrate parallel into workflow apps 2024-08-16 21:33:09 +08:00
StyleZhang
1973f5003b feat: frontend support parallel 2024-08-16 16:55:08 +08:00
takatost
5b5e6e31bf fix: answer node unit tests 2024-08-16 01:44:00 +08:00
takatost
90221c0a90 fix: unit tests 2024-08-16 01:43:35 +08:00
takatost
91e51ce2b8 fix(workflow): issues by merging main branch 2024-08-16 01:36:19 +08:00
takatost
db9b0ee985 Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/app/apps/advanced_chat/app_generator.py
#	api/core/app/apps/advanced_chat/app_runner.py
#	api/core/app/apps/advanced_chat/generate_task_pipeline.py
#	api/core/app/apps/base_app_runner.py
#	api/core/app/apps/workflow/app_runner.py
#	api/core/app/apps/workflow/generate_task_pipeline.py
#	api/core/app/task_pipeline/workflow_cycle_state_manager.py
#	api/core/workflow/entities/node_entities.py
#	api/core/workflow/nodes/llm/llm_node.py
#	api/core/workflow/workflow_engine_manager.py
#	api/tests/integration_tests/workflow/nodes/test_llm.py
#	api/tests/integration_tests/workflow/nodes/test_parameter_extractor.py
#	api/tests/unit_tests/core/workflow/nodes/test_answer.py
#	api/tests/unit_tests/core/workflow/nodes/test_if_else.py
#	api/tests/unit_tests/core/workflow/nodes/test_variable_assigner.py
2024-08-16 01:19:29 +08:00
takatost
c5192650fb fix: unit tests in workflow 2024-08-15 23:47:59 +08:00
takatost
702df31db7 fix(workflow): fix generate issues in workflow 2024-08-15 20:45:23 +08:00
takatost
1da5862a96 feat(workflow): fix iteration single debug 2024-08-15 03:12:49 +08:00
takatost
6f6b32e1ee feat(workflow): integrate workflow entry with workflow app 2024-08-14 19:22:15 +08:00
takatost
674af04c39 fix migration version depends 2024-08-13 17:15:21 +08:00
takatost
2980e31ddf fix issues when merging from main 2024-08-13 17:11:19 +08:00
takatost
14d020fffe Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/app/apps/advanced_chat/app_generator.py
#	api/core/app/apps/advanced_chat/app_runner.py
#	api/core/app/apps/advanced_chat/generate_task_pipeline.py
#	api/core/app/apps/workflow/app_runner.py
#	api/core/app/task_pipeline/workflow_cycle_manage.py
#	api/core/workflow/entities/variable_pool.py
#	api/core/workflow/nodes/base_node.py
#	api/core/workflow/workflow_engine_manager.py
2024-08-13 17:05:39 +08:00
takatost
8401a11109 feat(workflow): integrate workflow entry with advanced chat app 2024-08-13 16:21:10 +08:00
takatost
8d27ec364f fix bug 2024-07-31 02:27:23 +08:00
takatost
c9bb366e1a Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/workflow/entities/variable_pool.py
#	api/core/workflow/nodes/iteration/iteration_node.py
#	api/core/workflow/workflow_engine_manager.py
2024-07-31 02:25:31 +08:00
takatost
917aacbf7f add chatflow app event convert 2024-07-31 02:21:35 +08:00
takatost
0818b7b078 remove iteration special logic 2024-07-26 21:27:01 +08:00
takatost
88dcd7b737 fix bug 2024-07-26 20:29:12 +08:00
takatost
63addf8c94 add parallel branch events 2024-07-26 20:27:17 +08:00
takatost
483f71f03c fix logging 2024-07-26 20:13:11 +08:00
takatost
beea1e1663 fix lint 2024-07-26 19:47:12 +08:00
takatost
38f8c45755 add events in interation node 2024-07-26 19:47:02 +08:00
takatost
a31feacf28 fix iteration 2024-07-26 02:43:40 +08:00
takatost
ae351bd40e add iteration support 2024-07-25 23:07:27 +08:00
takatost
df133168dd fix lint 2024-07-25 21:06:23 +08:00
takatost
7c67ba8991 remove threadpool 2024-07-25 21:05:53 +08:00
takatost
4097f7c069 add parallel branch output 2024-07-25 19:39:06 +08:00
takatost
f4eb7cd037 add end stream output test 2024-07-25 04:03:53 +08:00
takatost
833584ba76 Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/workflow/workflow_entry.py
2024-07-24 23:43:14 +08:00
takatost
ec7760795f save 2024-07-24 00:24:24 +08:00
takatost
e9bfedab9b Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/workflow/entities/variable_pool.py
2024-07-23 17:28:57 +08:00
takatost
7303b53af1 fix bug 2024-07-23 16:18:52 +08:00
takatost
0fe516568a Merge branch 'refs/heads/main' into feat/workflow-parallel-support
# Conflicts:
#	api/core/workflow/nodes/code/code_node.py
#	api/core/workflow/nodes/end/end_node.py
#	api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py
#	api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
#	api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py
2024-07-23 16:18:34 +08:00
takatost
2c695ded79 fix bugs 2024-07-23 00:10:23 +08:00
takatost
a603e01f5e fix bug 2024-07-22 19:57:32 +08:00
takatost
beaac5033a fix bug 2024-07-20 00:57:41 +08:00
takatost
dad1a967ee finished answer stream output 2024-07-20 00:49:46 +08:00
takatost
7ad77e9e77 fix test 2024-07-18 08:19:58 +08:00
takatost
f67a88f44d fix test 2024-07-17 21:17:04 +08:00
takatost
90e518b05b fix bugs 2024-07-17 16:54:49 +08:00
takatost
cc96acdae3 fix bugs 2024-07-17 11:26:33 +08:00
takatost
16e2d00157 optimize 2024-07-17 01:07:23 +08:00
takatost
4ef3d4e65c optimize 2024-07-17 01:02:40 +08:00
takatost
775e52db4d merge 2024-07-16 17:46:20 +08:00
takatost
00ec36d47c add graph engine test 2024-07-16 16:37:37 +08:00
takatost
00fb23d0c9 graph engine implement 2024-07-15 23:40:02 +08:00
takatost
821e09b259 add run logics 2024-07-12 19:33:47 +08:00
takatost
d77b689a99 completed parallel tests 2024-07-10 21:21:06 +08:00
takatost
0e885a3cae refactor runtime 2024-07-08 16:29:13 +08:00
takatost
1adaf42f9d refactor graph 2024-07-07 23:08:45 +08:00
takatost
fed068ac2e Merge branch 'refs/heads/main' into feat/workflow-parallel-support 2024-07-07 16:57:21 +08:00
takatost
03f56a05eb refactor graph 2024-07-06 03:18:02 +08:00
takatost
1b6cd975f3 completed graph init test 2024-07-04 15:40:20 +08:00
takatost
0f19b2a986 optimize graph 2024-07-02 21:53:41 +08:00
takatost
8375517ccd save 2024-06-29 15:44:52 +08:00
takatost
1d8ecac093 save 2024-06-27 05:30:38 +08:00
takatost
aaa98c76d5 optimize 2024-06-26 23:56:30 +08:00
takatost
216910a4a1 add runtime state of graph 2024-06-25 17:43:13 +08:00
takatost
fe27c97fd9 add runtime graph 2024-06-25 14:41:14 +08:00
takatost
8217c46116 add new graph structure 2024-06-24 23:34:42 +08:00
8723 changed files with 357976 additions and 792714 deletions

View File

@@ -1,19 +0,0 @@
{
"permissions": {
"allow": [],
"deny": []
},
"env": {
"__comment": "Environment variables for MCP servers. Override in .claude/settings.local.json with actual values.",
"GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
},
"enabledMcpjsonServers": [
"context7",
"sequential-thinking",
"github",
"fetch",
"playwright",
"ide"
],
"enableAllProjectMcpServers": true
}

View File

@@ -1,6 +0,0 @@
# Cursor Rules for Dify Project
## Automated Test Generation
- Use `web/testing/testing.md` as the canonical instruction set for generating frontend automated tests.
- When proposing or saving tests, re-read that document and follow every requirement.

View File

@@ -1,4 +1,5 @@
FROM mcr.microsoft.com/devcontainers/python:3.12-bookworm
FROM mcr.microsoft.com/devcontainers/python:3.10
RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
&& apt-get -y install libgmp-dev libmpfr-dev libmpc-dev
# [Optional] Uncomment this section to install additional OS packages.
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install --no-install-recommends <your-package-list-here>

View File

@@ -1,26 +1,23 @@
# Development with devcontainer
This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
Both frontend and backend environments are initialized when the container is started.
## GitHub Codespaces
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langgenius/dify)
you can simply click the button above to open this project in GitHub Codespaces.
For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
## VS Code Dev Containers
## VS Code Dev Containers
[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langgenius/dify)
if you have VS Code installed, you can click the button above to open this project in VS Code Dev Containers.
You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
## Pros of Devcontainer
## Pros of Devcontainer
Unified Development Environment: By using devcontainers, you can ensure that all developers are developing in the same environment, reducing the occurrence of "it works on my machine" type of issues.
Quick Start: New developers can set up their development environment in a few simple steps, without spending a lot of time on environment configuration.
@@ -28,15 +25,13 @@ Quick Start: New developers can set up their development environment in a few si
Isolation: Devcontainers isolate your project from your host operating system, reducing the chance of OS updates or other application installations impacting the development environment.
## Cons of Devcontainer
Learning Curve: For developers unfamiliar with Docker and VS Code, using devcontainers may be somewhat complex.
Performance Impact: While usually minimal, programs running inside a devcontainer may be slightly slower than those running directly on the host.
## Troubleshooting
if you see such error message when you open this project in codespaces:
![Alt text](troubleshooting.png)
a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

View File

@@ -1,8 +1,8 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
{
"name": "Python 3.12",
"build": {
"name": "Python 3.10",
"build": {
"context": "..",
"dockerfile": "Dockerfile"
},
@@ -11,7 +11,7 @@
"nodeGypDependencies": true,
"version": "lts"
},
"ghcr.io/devcontainers-extra/features/npm-package:1": {
"ghcr.io/devcontainers-contrib/features/npm-package:1": {
"package": "typescript",
"version": "latest"
},

View File

@@ -1,3 +1,3 @@
This file copied into the container along with environment.yml* from the parent
folder. This file is included to prevents the Dockerfile COPY instruction from
failing if no environment.yml is found.
folder. This file is included to prevents the Dockerfile COPY instruction from
failing if no environment.yml is found.

View File

@@ -1,15 +1,11 @@
#!/bin/bash
WORKSPACE_ROOT=$(pwd)
corepack enable
cd web && pnpm install
pipx install uv
cd web && npm install
pipx install poetry
echo "alias start-api=\"cd $WORKSPACE_ROOT/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug\"" >> ~/.bashrc
echo "alias start-worker=\"cd $WORKSPACE_ROOT/api && uv run python -m celery -A app.celery worker -P threads -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor\"" >> ~/.bashrc
echo "alias start-web=\"cd $WORKSPACE_ROOT/web && pnpm dev\"" >> ~/.bashrc
echo "alias start-web-prod=\"cd $WORKSPACE_ROOT/web && pnpm build && pnpm start\"" >> ~/.bashrc
echo "alias start-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d\"" >> ~/.bashrc
echo "alias stop-containers=\"cd $WORKSPACE_ROOT/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down\"" >> ~/.bashrc
echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && npm run dev"' >> ~/.bashrc
echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify up -d"' >> ~/.bashrc
source /home/vscode/.bashrc
source /home/vscode/.bashrc

View File

@@ -1,3 +1,3 @@
#!/bin/bash
cd api && uv sync
poetry install -C api

View File

@@ -1,39 +0,0 @@
# EditorConfig is awesome: https://EditorConfig.org
# top-most EditorConfig file
root = true
# Unix-style newlines with a newline ending every file
[*]
charset = utf-8
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
[*.py]
indent_size = 4
indent_style = space
[*.{yml,yaml}]
indent_style = space
indent_size = 2
[*.toml]
indent_size = 4
indent_style = space
# Markdown and MDX are whitespace sensitive languages.
# Do not remove trailing spaces.
[*.{md,mdx}]
trim_trailing_whitespace = false
# Matches multiple files with brace expansion notation
# Set default charset
[*.{js,jsx,ts,tsx,mjs}]
indent_style = space
indent_size = 2
# Matches the exact files package.json
[package.json]
indent_style = space
indent_size = 2

2
.gitattributes vendored
View File

@@ -1,5 +1,5 @@
# Ensure that .sh scripts use LF as line separator, even if they are checked out
# to Windows(NTFS) file-system, by a user of Docker for Windows.
# to Windows(NTFS) file-system, by a user of Docker for Window.
# These .sh scripts will be run from the Container after `docker compose up -d`.
# If they appear to be CRLF style, Dash from the Container will fail to execute
# them.

226
.github/CODEOWNERS vendored
View File

@@ -1,226 +0,0 @@
# CODEOWNERS
# This file defines code ownership for the Dify project.
# Each line is a file pattern followed by one or more owners.
# Owners can be @username, @org/team-name, or email addresses.
# For more information, see: https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
* @crazywoola @laipz8200 @Yeuoly
# Backend (default owner, more specific rules below will override)
api/ @QuantumGhost
# Backend - Workflow - Engine (Core graph execution engine)
api/core/workflow/graph_engine/ @laipz8200 @QuantumGhost
api/core/workflow/runtime/ @laipz8200 @QuantumGhost
api/core/workflow/graph/ @laipz8200 @QuantumGhost
api/core/workflow/graph_events/ @laipz8200 @QuantumGhost
api/core/workflow/node_events/ @laipz8200 @QuantumGhost
api/core/model_runtime/ @laipz8200 @QuantumGhost
# Backend - Workflow - Nodes (Agent, Iteration, Loop, LLM)
api/core/workflow/nodes/agent/ @Nov1c444
api/core/workflow/nodes/iteration/ @Nov1c444
api/core/workflow/nodes/loop/ @Nov1c444
api/core/workflow/nodes/llm/ @Nov1c444
# Backend - RAG (Retrieval Augmented Generation)
api/core/rag/ @JohnJyong
api/services/rag_pipeline/ @JohnJyong
api/services/dataset_service.py @JohnJyong
api/services/knowledge_service.py @JohnJyong
api/services/external_knowledge_service.py @JohnJyong
api/services/hit_testing_service.py @JohnJyong
api/services/metadata_service.py @JohnJyong
api/services/vector_service.py @JohnJyong
api/services/entities/knowledge_entities/ @JohnJyong
api/services/entities/external_knowledge_entities/ @JohnJyong
api/controllers/console/datasets/ @JohnJyong
api/controllers/service_api/dataset/ @JohnJyong
api/models/dataset.py @JohnJyong
api/tasks/rag_pipeline/ @JohnJyong
api/tasks/add_document_to_index_task.py @JohnJyong
api/tasks/batch_clean_document_task.py @JohnJyong
api/tasks/clean_document_task.py @JohnJyong
api/tasks/clean_notion_document_task.py @JohnJyong
api/tasks/document_indexing_task.py @JohnJyong
api/tasks/document_indexing_sync_task.py @JohnJyong
api/tasks/document_indexing_update_task.py @JohnJyong
api/tasks/duplicate_document_indexing_task.py @JohnJyong
api/tasks/recover_document_indexing_task.py @JohnJyong
api/tasks/remove_document_from_index_task.py @JohnJyong
api/tasks/retry_document_indexing_task.py @JohnJyong
api/tasks/sync_website_document_indexing_task.py @JohnJyong
api/tasks/batch_create_segment_to_index_task.py @JohnJyong
api/tasks/create_segment_to_index_task.py @JohnJyong
api/tasks/delete_segment_from_index_task.py @JohnJyong
api/tasks/disable_segment_from_index_task.py @JohnJyong
api/tasks/disable_segments_from_index_task.py @JohnJyong
api/tasks/enable_segment_to_index_task.py @JohnJyong
api/tasks/enable_segments_to_index_task.py @JohnJyong
api/tasks/clean_dataset_task.py @JohnJyong
api/tasks/deal_dataset_index_update_task.py @JohnJyong
api/tasks/deal_dataset_vector_index_task.py @JohnJyong
# Backend - Plugins
api/core/plugin/ @Mairuis @Yeuoly @Stream29
api/services/plugin/ @Mairuis @Yeuoly @Stream29
api/controllers/console/workspace/plugin.py @Mairuis @Yeuoly @Stream29
api/controllers/inner_api/plugin/ @Mairuis @Yeuoly @Stream29
api/tasks/process_tenant_plugin_autoupgrade_check_task.py @Mairuis @Yeuoly @Stream29
# Backend - Trigger/Schedule/Webhook
api/controllers/trigger/ @Mairuis @Yeuoly
api/controllers/console/app/workflow_trigger.py @Mairuis @Yeuoly
api/controllers/console/workspace/trigger_providers.py @Mairuis @Yeuoly
api/core/trigger/ @Mairuis @Yeuoly
api/core/app/layers/trigger_post_layer.py @Mairuis @Yeuoly
api/services/trigger/ @Mairuis @Yeuoly
api/models/trigger.py @Mairuis @Yeuoly
api/fields/workflow_trigger_fields.py @Mairuis @Yeuoly
api/repositories/workflow_trigger_log_repository.py @Mairuis @Yeuoly
api/repositories/sqlalchemy_workflow_trigger_log_repository.py @Mairuis @Yeuoly
api/libs/schedule_utils.py @Mairuis @Yeuoly
api/services/workflow/scheduler.py @Mairuis @Yeuoly
api/schedule/trigger_provider_refresh_task.py @Mairuis @Yeuoly
api/schedule/workflow_schedule_task.py @Mairuis @Yeuoly
api/tasks/trigger_processing_tasks.py @Mairuis @Yeuoly
api/tasks/trigger_subscription_refresh_tasks.py @Mairuis @Yeuoly
api/tasks/workflow_schedule_tasks.py @Mairuis @Yeuoly
api/tasks/workflow_cfs_scheduler/ @Mairuis @Yeuoly
api/events/event_handlers/sync_plugin_trigger_when_app_created.py @Mairuis @Yeuoly
api/events/event_handlers/update_app_triggers_when_app_published_workflow_updated.py @Mairuis @Yeuoly
api/events/event_handlers/sync_workflow_schedule_when_app_published.py @Mairuis @Yeuoly
api/events/event_handlers/sync_webhook_when_app_created.py @Mairuis @Yeuoly
# Backend - Async Workflow
api/services/async_workflow_service.py @Mairuis @Yeuoly
api/tasks/async_workflow_tasks.py @Mairuis @Yeuoly
# Backend - Billing
api/services/billing_service.py @hj24 @zyssyz123
api/controllers/console/billing/ @hj24 @zyssyz123
# Backend - Enterprise
api/configs/enterprise/ @GarfieldDai @GareArc
api/services/enterprise/ @GarfieldDai @GareArc
api/services/feature_service.py @GarfieldDai @GareArc
api/controllers/console/feature.py @GarfieldDai @GareArc
api/controllers/web/feature.py @GarfieldDai @GareArc
# Backend - Database Migrations
api/migrations/ @snakevash @laipz8200
# Frontend
web/ @iamjoel
# Frontend - App - Orchestration
web/app/components/workflow/ @iamjoel @zxhlyh
web/app/components/workflow-app/ @iamjoel @zxhlyh
web/app/components/app/configuration/ @iamjoel @zxhlyh
web/app/components/app/app-publisher/ @iamjoel @zxhlyh
# Frontend - WebApp - Chat
web/app/components/base/chat/ @iamjoel @zxhlyh
# Frontend - WebApp - Completion
web/app/components/share/text-generation/ @iamjoel @zxhlyh
# Frontend - App - List and Creation
web/app/components/apps/ @JzoNgKVO @iamjoel
web/app/components/app/create-app-dialog/ @JzoNgKVO @iamjoel
web/app/components/app/create-app-modal/ @JzoNgKVO @iamjoel
web/app/components/app/create-from-dsl-modal/ @JzoNgKVO @iamjoel
# Frontend - App - API Documentation
web/app/components/develop/ @JzoNgKVO @iamjoel
# Frontend - App - Logs and Annotations
web/app/components/app/workflow-log/ @JzoNgKVO @iamjoel
web/app/components/app/log/ @JzoNgKVO @iamjoel
web/app/components/app/log-annotation/ @JzoNgKVO @iamjoel
web/app/components/app/annotation/ @JzoNgKVO @iamjoel
# Frontend - App - Monitoring
web/app/(commonLayout)/app/(appDetailLayout)/\[appId\]/overview/ @JzoNgKVO @iamjoel
web/app/components/app/overview/ @JzoNgKVO @iamjoel
# Frontend - App - Settings
web/app/components/app-sidebar/ @JzoNgKVO @iamjoel
# Frontend - RAG - Hit Testing
web/app/components/datasets/hit-testing/ @JzoNgKVO @iamjoel
# Frontend - RAG - List and Creation
web/app/components/datasets/list/ @iamjoel @WTW0313
web/app/components/datasets/create/ @iamjoel @WTW0313
web/app/components/datasets/create-from-pipeline/ @iamjoel @WTW0313
web/app/components/datasets/external-knowledge-base/ @iamjoel @WTW0313
# Frontend - RAG - Orchestration (general rule first, specific rules below override)
web/app/components/rag-pipeline/ @iamjoel @WTW0313
web/app/components/rag-pipeline/components/rag-pipeline-main.tsx @iamjoel @zxhlyh
web/app/components/rag-pipeline/store/ @iamjoel @zxhlyh
# Frontend - RAG - Documents List
web/app/components/datasets/documents/list.tsx @iamjoel @WTW0313
web/app/components/datasets/documents/create-from-pipeline/ @iamjoel @WTW0313
# Frontend - RAG - Segments List
web/app/components/datasets/documents/detail/ @iamjoel @WTW0313
# Frontend - RAG - Settings
web/app/components/datasets/settings/ @iamjoel @WTW0313
# Frontend - Ecosystem - Plugins
web/app/components/plugins/ @iamjoel @zhsama
# Frontend - Ecosystem - Tools
web/app/components/tools/ @iamjoel @Yessenia-d
# Frontend - Ecosystem - MarketPlace
web/app/components/plugins/marketplace/ @iamjoel @Yessenia-d
# Frontend - Login and Registration
web/app/signin/ @douxc @iamjoel
web/app/signup/ @douxc @iamjoel
web/app/reset-password/ @douxc @iamjoel
web/app/install/ @douxc @iamjoel
web/app/init/ @douxc @iamjoel
web/app/forgot-password/ @douxc @iamjoel
web/app/account/ @douxc @iamjoel
# Frontend - Service Authentication
web/service/base.ts @douxc @iamjoel
# Frontend - WebApp Authentication and Access Control
web/app/(shareLayout)/components/ @douxc @iamjoel
web/app/(shareLayout)/webapp-signin/ @douxc @iamjoel
web/app/(shareLayout)/webapp-reset-password/ @douxc @iamjoel
web/app/components/app/app-access-control/ @douxc @iamjoel
# Frontend - Explore Page
web/app/components/explore/ @CodingOnStar @iamjoel
# Frontend - Personal Settings
web/app/components/header/account-setting/ @CodingOnStar @iamjoel
web/app/components/header/account-dropdown/ @CodingOnStar @iamjoel
# Frontend - Analytics
web/app/components/base/ga/ @CodingOnStar @iamjoel
# Frontend - Base Components
web/app/components/base/ @iamjoel @zxhlyh
# Frontend - Utils and Hooks
web/utils/classnames.ts @iamjoel @zxhlyh
web/utils/time.ts @iamjoel @zxhlyh
web/utils/format.ts @iamjoel @zxhlyh
web/utils/clipboard.ts @iamjoel @zxhlyh
web/hooks/use-document-title.ts @iamjoel @zxhlyh
# Frontend - Billing and Education
web/app/components/billing/ @iamjoel @zxhlyh
web/app/education-apply/ @iamjoel @zxhlyh
# Frontend - Workspace
web/app/components/header/account-dropdown/workplace-selector/ @iamjoel @zxhlyh

View File

@@ -17,25 +17,27 @@ diverse, inclusive, and healthy community.
Examples of behavior that contributes to a positive environment for our
community include:
- Demonstrating empathy and kindness toward other people
- Being respectful of differing opinions, viewpoints, and experiences
- Giving and gracefully accepting constructive feedback
- Accepting responsibility and apologizing to those affected by our mistakes,
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
- Focusing on what is best not just for us as individuals, but for the
* Focusing on what is best not just for us as individuals, but for the
overall community
Examples of unacceptable behavior include:
- The use of sexualized language or imagery, and sexual attention or
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
- Trolling, insulting or derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or email
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
- Other conduct which could reasonably be considered inappropriate in a
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Language Policy
To facilitate clear and effective communication, all discussions, comments, documentation, and pull requests in this project should be conducted in English. This ensures that all contributors can participate and collaborate effectively.

View File

@@ -9,7 +9,7 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:)"
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -9,7 +9,7 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:)"
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -9,7 +9,7 @@ body:
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:)"
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -8,15 +8,13 @@ body:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
required: true
- label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
required: true
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report, otherwise it will be closed.
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: 【中文用户 & Non English User】请使用英提交,否则会被关闭
- label: "[FOR CHINESE USERS] 请务必使用英提交 Issue,否则会被关闭。谢谢!:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
@@ -44,22 +42,20 @@ body:
attributes:
label: Steps to reproduce
description: We highly suggest including screenshots and a bug report log. Please use the right markdown syntax for code blocks.
placeholder: Having detailed steps helps us reproduce the bug. If you have logs, please use fenced code blocks (triple backticks ```) to format them.
placeholder: Having detailed steps helps us reproduce the bug.
validations:
required: true
- type: textarea
attributes:
label: ✔️ Expected Behavior
description: Describe what you expected to happen.
placeholder: What were you expecting? Please do not copy and paste the steps to reproduce here.
placeholder: What were you expecting?
validations:
required: true
required: false
- type: textarea
attributes:
label: ❌ Actual Behavior
description: Describe what actually happened.
placeholder: What happened instead? Please do not copy and paste the steps to reproduce here.
placeholder: What happened instead?
validations:
required: false

View File

@@ -1,14 +1,5 @@
blank_issues_enabled: false
contact_links:
- name: "\U0001F510 Security Vulnerabilities"
url: "https://github.com/langgenius/dify/security/advisories/new"
about: Report security vulnerabilities through GitHub Security Advisories to ensure responsible disclosure. 💡 Please do not report security vulnerabilities in public issues.
- name: "\U0001F4A1 Model Providers & Plugins"
url: "https://github.com/langgenius/dify-official-plugins/issues/new/choose"
about: Report issues with official plugins or model providers, you will need to provide the plugin version and other relevant details.
- name: "\U0001F4AC Documentation Issues"
url: "https://github.com/langgenius/dify-docs/issues/new"
about: Report issues with the documentation, such as typos, outdated information, or missing content. Please provide the specific section and details of the issue.
- name: "\U0001F4E7 Discussions"
url: https://github.com/langgenius/dify/discussions/categories/general
about: General discussions and seek help from the community
about: General discussions and request help from the community

View File

@@ -0,0 +1,24 @@
name: "📚 Documentation Issue"
description: Report issues in our documentation
labels:
- documentation
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
attributes:
label: Provide a description of requested docs changes
placeholder: Briefly describe which document needs to be corrected and why.
validations:
required: true

View File

@@ -8,11 +8,11 @@ body:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
required: true
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report, otherwise it will be closed.
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true

View File

@@ -1,44 +0,0 @@
name: "✨ Refactor"
description: Refactor existing code for improved readability and maintainability.
title: "[Chore/Refactor] "
labels:
- refactor
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542).
required: true
- label: This is only for refactoring, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
required: true
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report, otherwise it will be closed.
required: true
- label: 【中文用户 & Non English User】请使用英语提交否则会被关闭
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: textarea
id: description
attributes:
label: Description
placeholder: "Describe the refactor you are proposing."
validations:
required: true
- type: textarea
id: motivation
attributes:
label: Motivation
placeholder: "Explain why this refactor is necessary."
validations:
required: false
- type: textarea
id: additional-context
attributes:
label: Additional Context
placeholder: "Add any other context or screenshots about the request here."
validations:
required: false

View File

@@ -1,13 +0,0 @@
name: "👾 Tracker"
description: For inner usages, please do not use this template.
title: "[Tracker] "
labels:
- tracker
body:
- type: textarea
id: content
attributes:
label: Blockers
placeholder: "- [ ] ..."
validations:
required: true

View File

@@ -0,0 +1,55 @@
name: "🌐 Localization/Translation issue"
description: Report incorrect translations. [please use English :]
labels:
- translation
body:
- type: checkboxes
attributes:
label: Self Checks
description: "To make sure we get to you in time, please check the following :)"
options:
- label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
required: true
- label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
required: true
- label: "[FOR CHINESE USERS] 请务必使用英文提交 Issue否则会被关闭。谢谢:"
required: true
- label: "Please do not modify this template :) and fill in all the required fields."
required: true
- type: input
attributes:
label: Dify version
description: Hover over system tray icon or look at Settings
validations:
required: true
- type: input
attributes:
label: Utility with translation issue
placeholder: Some area
description: Please input here the utility with the translation issue
validations:
required: true
- type: input
attributes:
label: 🌐 Language affected
placeholder: "German"
validations:
required: true
- type: textarea
attributes:
label: ❌ Actual phrase(s)
placeholder: What is there? Please include a screenshot as that is extremely helpful.
validations:
required: true
- type: textarea
attributes:
label: ✔️ Expected phrase(s)
placeholder: What was expected?
validations:
required: true
- type: textarea
attributes:
label: Why is the current translation wrong
placeholder: Why do you feel this is incorrect?
validations:
required: true

View File

@@ -1,12 +0,0 @@
# Copilot Instructions
GitHub Copilot must follow the unified frontend testing requirements documented in `web/testing/testing.md`.
Key reminders:
- Generate tests using the mandated tech stack, naming, and code style (AAA pattern, `fireEvent`, descriptive test names, cleans up mocks).
- Cover rendering, prop combinations, and edge cases by default; extend coverage for hooks, routing, async flows, and domain-specific components when applicable.
- Target >95% line and branch coverage and 100% function/statement coverage.
- Apply the project's mocking conventions for i18n, toast notifications, and Next.js utilities.
Any suggestions from Copilot that conflict with `web/testing/testing.md` should be revised before acceptance.

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@@ -1,12 +0,0 @@
version: 2
updates:
- package-ecosystem: "npm"
directory: "/web"
schedule:
interval: "weekly"
open-pull-requests-limit: 2
- package-ecosystem: "uv"
directory: "/api"
schedule:
interval: "weekly"
open-pull-requests-limit: 2

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@@ -1,22 +0,0 @@
{
"Verbose": false,
"Debug": false,
"IgnoreDefaults": false,
"SpacesAfterTabs": false,
"NoColor": false,
"Exclude": [
"^web/public/vs/",
"^web/public/pdf.worker.min.mjs$",
"web/app/components/base/icons/src/vender/"
],
"AllowedContentTypes": [],
"PassedFiles": [],
"Disable": {
"EndOfLine": false,
"Indentation": false,
"IndentSize": true,
"InsertFinalNewline": false,
"TrimTrailingWhitespace": false,
"MaxLineLength": false
}
}

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@@ -1,23 +1,34 @@
> [!IMPORTANT]
>
> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
> 1. Ensure there is an associated issue and you have been assigned to it
> 1. Use the correct syntax to link this PR: `Fixes #<issue number>`.
# Checklist:
## Summary
> [!IMPORTANT]
> Please review the checklist below before submitting your pull request.
<!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. -->
- [ ] Please open an issue before creating a PR or link to an existing issue
- [ ] I have performed a self-review of my own code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
## Screenshots
# Description
| Before | After |
|--------|-------|
| ... | ... |
Describe the big picture of your changes here to communicate to the maintainers why we should accept this pull request. If it fixes a bug or resolves a feature request, be sure to link to that issue. Close issue syntax: `Fixes #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
## Checklist
Fixes
## Type of Change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
- [x] I've updated the documentation accordingly.
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
- [ ] Improvement, including but not limited to code refactoring, performance optimization, and UI/UX improvement
- [ ] Dependency upgrade
# Testing Instructions
Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration
- [ ] Test A
- [ ] Test B

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@@ -1,7 +1,12 @@
name: Run Pytest
on:
workflow_call:
pull_request:
branches:
- main
paths:
- api/**
- docker/**
concurrency:
group: api-tests-${{ github.head_ref || github.run_id }}
@@ -11,42 +16,45 @@ jobs:
test:
name: API Tests
runs-on: ubuntu-latest
defaults:
run:
shell: bash
strategy:
matrix:
python-version:
- "3.10"
- "3.11"
- "3.12"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@v6
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
enable-cache: true
python-version: ${{ matrix.python-version }}
cache-dependency-glob: api/uv.lock
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Check UV lockfile
run: uv lock --project api --check
- name: Poetry check
run: |
poetry check -C api --lock
poetry show -C api
- name: Install dependencies
run: uv sync --project api --dev
run: poetry install -C api --with dev
- name: Run pyrefly check
run: |
cd api
uv add --dev pyrefly
uv run pyrefly check || true
- name: Run Unit tests
run: poetry run -C api bash dev/pytest/pytest_unit_tests.sh
- name: Run dify config tests
run: uv run --project api dev/pytest/pytest_config_tests.py
- name: Run ModelRuntime
run: poetry run -C api bash dev/pytest/pytest_model_runtime.sh
- name: Run Tool
run: poetry run -C api bash dev/pytest/pytest_tools.sh
- name: Set up dotenvs
run: |
@@ -57,41 +65,31 @@ jobs:
run: sh .github/workflows/expose_service_ports.sh
- name: Set up Sandbox
uses: hoverkraft-tech/compose-action@v2.0.2
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
db_postgres
redis
sandbox
ssrf_proxy
- name: setup test config
run: |
cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
- name: Run Workflow
run: uv run --project api bash dev/pytest/pytest_workflow.sh
- name: Run Tool
run: uv run --project api bash dev/pytest/pytest_tools.sh
- name: Run TestContainers
run: uv run --project api bash dev/pytest/pytest_testcontainers.sh
- name: Run Unit tests
run: |
uv run --project api bash dev/pytest/pytest_unit_tests.sh
- name: Coverage Summary
run: |
set -x
# Extract coverage percentage and create a summary
TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
# Create a detailed coverage summary
echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
uv run --project api coverage report --format=markdown >> $GITHUB_STEP_SUMMARY
run: poetry run -C api bash dev/pytest/pytest_workflow.sh
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch)
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.yaml
services: |
weaviate
qdrant
etcd
minio
milvus-standalone
pgvecto-rs
pgvector
chroma
elasticsearch
- name: Test Vector Stores
run: poetry run -C api bash dev/pytest/pytest_vdb.sh

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@@ -1,90 +0,0 @@
name: autofix.ci
on:
pull_request:
branches: ["main"]
push:
branches: ["main"]
permissions:
contents: read
jobs:
autofix:
if: github.repository == 'langgenius/dify'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# Use uv to ensure we have the same ruff version in CI and locally.
- uses: astral-sh/setup-uv@v6
with:
python-version: "3.11"
- run: |
cd api
uv sync --dev
# fmt first to avoid line too long
uv run ruff format ..
# Fix lint errors
uv run ruff check --fix .
# Format code
uv run ruff format ..
- name: count migration progress
run: |
cd api
./cnt_base.sh
- name: ast-grep
run: |
uvx --from ast-grep-cli sg --pattern 'db.session.query($WHATEVER).filter($HERE)' --rewrite 'db.session.query($WHATEVER).where($HERE)' -l py --update-all
uvx --from ast-grep-cli sg --pattern 'session.query($WHATEVER).filter($HERE)' --rewrite 'session.query($WHATEVER).where($HERE)' -l py --update-all
uvx --from ast-grep-cli sg -p '$A = db.Column($$$B)' -r '$A = mapped_column($$$B)' -l py --update-all
uvx --from ast-grep-cli sg -p '$A : $T = db.Column($$$B)' -r '$A : $T = mapped_column($$$B)' -l py --update-all
# Convert Optional[T] to T | None (ignoring quoted types)
cat > /tmp/optional-rule.yml << 'EOF'
id: convert-optional-to-union
language: python
rule:
kind: generic_type
all:
- has:
kind: identifier
pattern: Optional
- has:
kind: type_parameter
has:
kind: type
pattern: $T
fix: $T | None
EOF
uvx --from ast-grep-cli sg scan --inline-rules "$(cat /tmp/optional-rule.yml)" --update-all
# Fix forward references that were incorrectly converted (Python doesn't support "Type" | None syntax)
find . -name "*.py" -type f -exec sed -i.bak -E 's/"([^"]+)" \| None/Optional["\1"]/g; s/'"'"'([^'"'"']+)'"'"' \| None/Optional['"'"'\1'"'"']/g' {} \;
find . -name "*.py.bak" -type f -delete
- name: mdformat
run: |
uvx mdformat .
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
run_install: false
- name: Setup NodeJS
uses: actions/setup-node@v4
with:
node-version: 22
cache: pnpm
cache-dependency-path: ./web/package.json
- name: Web dependencies
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: oxlint
working-directory: ./web
run: |
pnpx oxlint --fix
- uses: autofix-ci/action@635ffb0c9798bd160680f18fd73371e355b85f27

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@@ -4,12 +4,9 @@ on:
push:
branches:
- "main"
- "deploy/**"
- "build/**"
- "release/e-*"
- "hotfix/**"
tags:
- "*"
- "deploy/dev"
release:
types: [published]
concurrency:
group: build-push-${{ github.head_ref || github.run_id }}
@@ -52,7 +49,7 @@ jobs:
echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
- name: Login to Docker Hub
uses: docker/login-action@v3
uses: docker/login-action@v2
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
@@ -82,12 +79,10 @@ jobs:
cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
- name: Export digest
env:
DIGEST: ${{ steps.build.outputs.digest }}
run: |
mkdir -p /tmp/digests
sanitized_digest=${DIGEST#sha256:}
touch "/tmp/digests/${sanitized_digest}"
digest="${{ steps.build.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest
uses: actions/upload-artifact@v4
@@ -119,7 +114,7 @@ jobs:
merge-multiple: true
- name: Login to Docker Hub
uses: docker/login-action@v3
uses: docker/login-action@v2
with:
username: ${{ env.DOCKERHUB_USER }}
password: ${{ env.DOCKERHUB_TOKEN }}
@@ -130,22 +125,16 @@ jobs:
with:
images: ${{ env[matrix.image_name_env] }}
tags: |
type=raw,value=latest,enable=${{ startsWith(github.ref, 'refs/tags/') && !contains(github.ref, '-') }}
type=ref,event=branch
type=sha,enable=true,priority=100,prefix=,suffix=,format=long
type=raw,value=${{ github.ref_name }},enable=${{ startsWith(github.ref, 'refs/tags/') }}
- name: Create manifest list and push
working-directory: /tmp/digests
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
run: |
docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
$(printf "$IMAGE_NAME@sha256:%s " *)
$(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
- name: Inspect image
env:
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
IMAGE_VERSION: ${{ steps.meta.outputs.version }}
run: |
docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}

View File

@@ -1,38 +1,42 @@
name: DB Migration Test
on:
workflow_call:
pull_request:
branches:
- main
paths:
- api/migrations/**
concurrency:
group: db-migration-test-${{ github.ref }}
cancel-in-progress: true
jobs:
db-migration-test-postgres:
db-migration-test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.10"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@v6
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
enable-cache: true
python-version: "3.12"
cache-dependency-glob: api/uv.lock
python-version: ${{ matrix.python-version }}
cache: 'poetry'
cache-dependency-path: |
api/pyproject.toml
api/poetry.lock
- name: Install dependencies
run: uv sync --project api
- name: Ensure Offline migration are supported
run: |
# upgrade
uv run --directory api flask db upgrade 'base:head' --sql
# downgrade
uv run --directory api flask db downgrade 'head:base' --sql
run: poetry install -C api
- name: Prepare middleware env
run: |
@@ -40,12 +44,12 @@ jobs:
cp middleware.env.example middleware.env
- name: Set up Middlewares
uses: hoverkraft-tech/compose-action@v2.0.2
uses: hoverkraft-tech/compose-action@v2.0.0
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
db_postgres
db
redis
- name: Prepare configs
@@ -54,63 +58,6 @@ jobs:
cp .env.example .env
- name: Run DB Migration
env:
DEBUG: true
run: uv run --directory api flask upgrade-db
db-migration-test-mysql:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@v6
with:
enable-cache: true
python-version: "3.12"
cache-dependency-glob: api/uv.lock
- name: Install dependencies
run: uv sync --project api
- name: Ensure Offline migration are supported
run: |
# upgrade
uv run --directory api flask db upgrade 'base:head' --sql
# downgrade
uv run --directory api flask db downgrade 'head:base' --sql
- name: Prepare middleware env for MySQL
run: |
cd docker
cp middleware.env.example middleware.env
sed -i 's/DB_TYPE=postgresql/DB_TYPE=mysql/' middleware.env
sed -i 's/DB_HOST=db_postgres/DB_HOST=db_mysql/' middleware.env
sed -i 's/DB_PORT=5432/DB_PORT=3306/' middleware.env
sed -i 's/DB_USERNAME=postgres/DB_USERNAME=mysql/' middleware.env
- name: Set up Middlewares
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: |
docker/docker-compose.middleware.yaml
services: |
db_mysql
redis
- name: Prepare configs for MySQL
run: |
cd api
cp .env.example .env
sed -i 's/DB_TYPE=postgresql/DB_TYPE=mysql/' .env
sed -i 's/DB_PORT=5432/DB_PORT=3306/' .env
sed -i 's/DB_USERNAME=postgres/DB_USERNAME=root/' .env
- name: Run DB Migration
env:
DEBUG: true
run: uv run --directory api flask upgrade-db
poetry run python -m flask upgrade-db

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@@ -12,8 +12,7 @@ jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/dev'
github.event.workflow_run.conclusion == 'success'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8

View File

@@ -1,41 +0,0 @@
name: Deploy Enterprise
permissions:
contents: read
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/enterprise"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/enterprise'
steps:
- name: trigger deployments
env:
DEV_ENV_ADDRS: ${{ vars.DEV_ENV_ADDRS }}
DEPLOY_SECRET: ${{ secrets.DEPLOY_SECRET }}
run: |
IFS=',' read -ra ENDPOINTS <<< "${DEV_ENV_ADDRS:-}"
BODY='{"project":"dify-api","tag":"deploy-enterprise"}'
for ENDPOINT in "${ENDPOINTS[@]}"; do
ENDPOINT="$(echo "$ENDPOINT" | xargs)"
[ -z "$ENDPOINT" ] && continue
API_SIGNATURE=$(printf '%s' "$BODY" | openssl dgst -sha256 -hmac "$DEPLOY_SECRET" | awk '{print "sha256="$2}')
curl -sSf -X POST \
-H "Content-Type: application/json" \
-H "X-Hub-Signature-256: $API_SIGNATURE" \
-d "$BODY" \
"$ENDPOINT"
done

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@@ -1,28 +0,0 @@
name: Deploy Trigger Dev
permissions:
contents: read
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/trigger-dev"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/trigger-dev'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.TRIGGER_SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

View File

@@ -1,48 +0,0 @@
name: Build docker image
on:
pull_request:
branches:
- "main"
paths:
- api/Dockerfile
- web/Dockerfile
concurrency:
group: docker-build-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
build-docker:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- service_name: "api-amd64"
platform: linux/amd64
context: "api"
- service_name: "api-arm64"
platform: linux/arm64
context: "api"
- service_name: "web-amd64"
platform: linux/amd64
context: "web"
- service_name: "web-arm64"
platform: linux/arm64
context: "web"
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build Docker Image
uses: docker/build-push-action@v6
with:
push: false
context: "{{defaultContext}}:${{ matrix.context }}"
file: "${{ matrix.file }}"
platforms: ${{ matrix.platform }}
cache-from: type=gha
cache-to: type=gha,mode=max

View File

@@ -1,17 +1,11 @@
#!/bin/bash
yq eval '.services.weaviate.ports += ["8080:8080"]' -i docker/docker-compose.yaml
yq eval '.services.weaviate.ports += ["50051:50051"]' -i docker/docker-compose.yaml
yq eval '.services.qdrant.ports += ["6333:6333"]' -i docker/docker-compose.yaml
yq eval '.services.chroma.ports += ["8000:8000"]' -i docker/docker-compose.yaml
yq eval '.services["milvus-standalone"].ports += ["19530:19530"]' -i docker/docker-compose.yaml
yq eval '.services.pgvector.ports += ["5433:5432"]' -i docker/docker-compose.yaml
yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compose.yaml
yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml
echo "Ports exposed for sandbox, weaviate (HTTP 8080, gRPC 50051), tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss"
echo "Ports exposed for sandbox, weaviate, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch"

View File

@@ -1,78 +0,0 @@
name: Main CI Pipeline
on:
pull_request:
branches: ["main"]
push:
branches: ["main"]
permissions:
contents: write
pull-requests: write
checks: write
statuses: write
concurrency:
group: main-ci-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
# Check which paths were changed to determine which tests to run
check-changes:
name: Check Changed Files
runs-on: ubuntu-latest
outputs:
api-changed: ${{ steps.changes.outputs.api }}
web-changed: ${{ steps.changes.outputs.web }}
vdb-changed: ${{ steps.changes.outputs.vdb }}
migration-changed: ${{ steps.changes.outputs.migration }}
steps:
- uses: actions/checkout@v4
- uses: dorny/paths-filter@v3
id: changes
with:
filters: |
api:
- 'api/**'
- 'docker/**'
- '.github/workflows/api-tests.yml'
web:
- 'web/**'
vdb:
- 'api/core/rag/datasource/**'
- 'docker/**'
- '.github/workflows/vdb-tests.yml'
- 'api/uv.lock'
- 'api/pyproject.toml'
migration:
- 'api/migrations/**'
- '.github/workflows/db-migration-test.yml'
# Run tests in parallel
api-tests:
name: API Tests
needs: check-changes
if: needs.check-changes.outputs.api-changed == 'true'
uses: ./.github/workflows/api-tests.yml
web-tests:
name: Web Tests
needs: check-changes
if: needs.check-changes.outputs.web-changed == 'true'
uses: ./.github/workflows/web-tests.yml
style-check:
name: Style Check
uses: ./.github/workflows/style.yml
vdb-tests:
name: VDB Tests
needs: check-changes
if: needs.check-changes.outputs.vdb-changed == 'true'
uses: ./.github/workflows/vdb-tests.yml
db-migration-test:
name: DB Migration Test
needs: check-changes
if: needs.check-changes.outputs.migration-changed == 'true'
uses: ./.github/workflows/db-migration-test.yml

View File

@@ -1,17 +1,14 @@
name: Style check
on:
workflow_call:
pull_request:
branches:
- main
concurrency:
group: style-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
permissions:
checks: write
statuses: write
contents: read
jobs:
python-style:
name: Python Style
@@ -20,44 +17,41 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v46
uses: tj-actions/changed-files@v44
with:
files: |
api/**
.github/workflows/style.yml
files: api/**
- name: Setup UV and Python
- name: Install Poetry
uses: abatilo/actions-poetry@v3
- name: Set up Python
uses: actions/setup-python@v5
if: steps.changed-files.outputs.any_changed == 'true'
uses: astral-sh/setup-uv@v6
with:
enable-cache: false
python-version: "3.12"
cache-dependency-glob: api/uv.lock
python-version: '3.10'
- name: Install dependencies
- name: Python dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: uv sync --project api --dev
run: poetry install -C api --only lint
- name: Run Import Linter
- name: Ruff check
if: steps.changed-files.outputs.any_changed == 'true'
run: uv run --directory api --dev lint-imports
- name: Run Basedpyright Checks
if: steps.changed-files.outputs.any_changed == 'true'
run: dev/basedpyright-check
- name: Run Mypy Type Checks
if: steps.changed-files.outputs.any_changed == 'true'
run: uv --directory api run mypy --exclude-gitignore --exclude 'tests/' --exclude 'migrations/' --check-untyped-defs --disable-error-code=import-untyped .
run: poetry run -C api ruff check ./api
- name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true'
run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
run: poetry run -C api dotenv-linter ./api/.env.example ./web/.env.example
- name: Ruff formatter check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -C api ruff format --check ./api
- name: Lint hints
if: failure()
run: echo "Please run 'dev/reformat' to fix the fixable linting errors."
web-style:
name: Web Style
@@ -69,74 +63,29 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v46
uses: tj-actions/changed-files@v44
with:
files: web/**
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
run_install: false
- name: Setup NodeJS
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 22
cache: pnpm
node-version: 20
cache: yarn
cache-dependency-path: ./web/package.json
- name: Web dependencies
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
run: yarn install --frozen-lockfile
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: |
pnpm run lint
run: yarn run lint
- name: Web type check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run type-check:tsgo
docker-compose-template:
name: Docker Compose Template
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v46
with:
files: |
docker/generate_docker_compose
docker/.env.example
docker/docker-compose-template.yaml
docker/docker-compose.yaml
- name: Generate Docker Compose
if: steps.changed-files.outputs.any_changed == 'true'
run: |
cd docker
./generate_docker_compose
- name: Check for changes
if: steps.changed-files.outputs.any_changed == 'true'
run: git diff --exit-code
superlinter:
name: SuperLinter
@@ -145,13 +94,10 @@ jobs:
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v46
uses: tj-actions/changed-files@v44
with:
files: |
**.sh
@@ -159,16 +105,13 @@ jobs:
**.yml
**Dockerfile
dev/**
.editorconfig
- name: Super-linter
uses: super-linter/super-linter/slim@v8
uses: super-linter/super-linter/slim@v6
if: steps.changed-files.outputs.any_changed == 'true'
env:
BASH_SEVERITY: warning
DEFAULT_BRANCH: origin/main
EDITORCONFIG_FILE_NAME: editorconfig-checker.json
FILTER_REGEX_INCLUDE: pnpm-lock.yaml
DEFAULT_BRANCH: main
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
IGNORE_GENERATED_FILES: true
IGNORE_GITIGNORED_FILES: true
@@ -177,6 +120,5 @@ jobs:
# FIXME: temporarily disabled until api-docker.yaml's run script is fixed for shellcheck
# VALIDATE_GITHUB_ACTIONS: true
VALIDATE_DOCKERFILE_HADOLINT: true
VALIDATE_EDITORCONFIG: true
VALIDATE_XML: true
VALIDATE_YAML: true

View File

@@ -18,7 +18,7 @@ jobs:
strategy:
matrix:
node-version: [16, 18, 20, 22]
node-version: [16, 18, 20]
defaults:
run:
@@ -26,18 +26,16 @@ jobs:
steps:
- uses: actions/checkout@v4
with:
persist-credentials: false
- name: Use Node.js ${{ matrix.node-version }}
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node-version }}
cache: ''
cache-dependency-path: 'pnpm-lock.yaml'
cache-dependency-path: 'yarn.lock'
- name: Install Dependencies
run: pnpm install --frozen-lockfile
run: yarn install
- name: Test
run: pnpm test
run: yarn test

View File

@@ -1,18 +1,13 @@
name: Check i18n Files and Create PR
on:
push:
pull_request:
types: [closed]
branches: [main]
paths:
- 'web/i18n/en-US/*.ts'
permissions:
contents: write
pull-requests: write
jobs:
check-and-update:
if: github.repository == 'langgenius/dify'
if: github.event.pull_request.merged == true
runs-on: ubuntu-latest
defaults:
run:
@@ -20,72 +15,40 @@ jobs:
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
fetch-depth: 2 # last 2 commits
- name: Check for file changes in i18n/en-US
id: check_files
run: |
git fetch origin "${{ github.event.before }}" || true
git fetch origin "${{ github.sha }}" || true
changed_files=$(git diff --name-only "${{ github.event.before }}" "${{ github.sha }}" -- 'i18n/en-US/*.ts')
recent_commit_sha=$(git rev-parse HEAD)
second_recent_commit_sha=$(git rev-parse HEAD~1)
changed_files=$(git diff --name-only $recent_commit_sha $second_recent_commit_sha -- 'i18n/en-US/*.ts')
echo "Changed files: $changed_files"
if [ -n "$changed_files" ]; then
echo "FILES_CHANGED=true" >> $GITHUB_ENV
file_args=""
for file in $changed_files; do
filename=$(basename "$file" .ts)
file_args="$file_args --file $filename"
done
echo "FILE_ARGS=$file_args" >> $GITHUB_ENV
echo "File arguments: $file_args"
else
echo "FILES_CHANGED=false" >> $GITHUB_ENV
fi
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
run_install: false
- name: Set up Node.js
if: env.FILES_CHANGED == 'true'
uses: actions/setup-node@v4
uses: actions/setup-node@v2
with:
node-version: 'lts/*'
cache: pnpm
cache-dependency-path: ./web/package.json
- name: Install dependencies
if: env.FILES_CHANGED == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
run: yarn install --frozen-lockfile
- name: Generate i18n translations
- name: Run npm script
if: env.FILES_CHANGED == 'true'
working-directory: ./web
run: pnpm run auto-gen-i18n ${{ env.FILE_ARGS }}
- name: Generate i18n type definitions
if: env.FILES_CHANGED == 'true'
working-directory: ./web
run: pnpm run gen:i18n-types
run: npm run auto-gen-i18n
- name: Create Pull Request
if: env.FILES_CHANGED == 'true'
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: 'chore(i18n): update translations based on en-US changes'
title: 'chore(i18n): translate i18n files and update type definitions'
body: |
This PR was automatically created to update i18n files and TypeScript type definitions based on changes in en-US locale.
**Triggered by:** ${{ github.sha }}
**Changes included:**
- Updated translation files for all locales
- Regenerated TypeScript type definitions for type safety
branch: chore/automated-i18n-updates-${{ github.sha }}
delete-branch: true
commit-message: Update i18n files based on en-US changes
title: 'chore: translate i18n files'
body: This PR was automatically created to update i18n files based on changes in en-US locale.
branch: chore/automated-i18n-updates

View File

@@ -1,90 +0,0 @@
name: Run VDB Tests
on:
workflow_call:
concurrency:
group: vdb-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
test:
name: VDB Tests
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.11"
- "3.12"
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Free Disk Space
uses: endersonmenezes/free-disk-space@v2
with:
remove_dotnet: true
remove_haskell: true
remove_tool_cache: true
- name: Setup UV and Python
uses: astral-sh/setup-uv@v6
with:
enable-cache: true
python-version: ${{ matrix.python-version }}
cache-dependency-glob: api/uv.lock
- name: Check UV lockfile
run: uv lock --project api --check
- name: Install dependencies
run: uv sync --project api --dev
- name: Set up dotenvs
run: |
cp docker/.env.example docker/.env
cp docker/middleware.env.example docker/middleware.env
- name: Expose Service Ports
run: sh .github/workflows/expose_service_ports.sh
# - name: Set up Vector Store (TiDB)
# uses: hoverkraft-tech/compose-action@v2.0.2
# with:
# compose-file: docker/tidb/docker-compose.yaml
# services: |
# tidb
# tiflash
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
uses: hoverkraft-tech/compose-action@v2.0.2
with:
compose-file: |
docker/docker-compose.yaml
services: |
weaviate
qdrant
couchbase-server
etcd
minio
milvus-standalone
pgvecto-rs
pgvector
chroma
elasticsearch
oceanbase
- name: setup test config
run: |
echo $(pwd)
ls -lah .
cp api/tests/integration_tests/.env.example api/tests/integration_tests/.env
# - name: Check VDB Ready (TiDB)
# run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
- name: Test Vector Stores
run: uv run --project api bash dev/pytest/pytest_vdb.sh

View File

@@ -1,58 +0,0 @@
name: Web Tests
on:
workflow_call:
concurrency:
group: web-tests-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
test:
name: Web Tests
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./web
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
persist-credentials: false
- name: Check changed files
id: changed-files
uses: tj-actions/changed-files@v46
with:
files: web/**
- name: Install pnpm
if: steps.changed-files.outputs.any_changed == 'true'
uses: pnpm/action-setup@v4
with:
package_json_file: web/package.json
run_install: false
- name: Setup Node.js
uses: actions/setup-node@v4
if: steps.changed-files.outputs.any_changed == 'true'
with:
node-version: 22
cache: pnpm
cache-dependency-path: ./web/package.json
- name: Install dependencies
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm install --frozen-lockfile
- name: Check i18n types synchronization
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run check:i18n-types
- name: Run tests
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm test

73
.gitignore vendored
View File

@@ -6,9 +6,6 @@ __pycache__/
# C extensions
*.so
# *db files
*.db
# Distribution / packaging
.Python
build/
@@ -49,7 +46,6 @@ htmlcov/
.cache
nosetests.xml
coverage.xml
coverage.json
*.cover
*.py,cover
.hypothesis/
@@ -100,7 +96,6 @@ __pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat-schedule.db
celerybeat.pid
# SageMath parsed files
@@ -108,7 +103,6 @@ celerybeat.pid
# Environments
.env
.env-local
.venv
env/
venv/
@@ -127,12 +121,10 @@ venv.bak/
# mkdocs documentation
/site
# type checking
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
pyrightconfig.json
!api/pyrightconfig.json
# Pyre type checker
.pyre/
@@ -161,9 +153,6 @@ docker-legacy/volumes/etcd/*
docker-legacy/volumes/minio/*
docker-legacy/volumes/milvus/*
docker-legacy/volumes/chroma/*
docker-legacy/volumes/opensearch/data/*
docker-legacy/volumes/pgvectors/data/*
docker-legacy/volumes/pgvector/data/*
docker/volumes/app/storage/*
docker/volumes/certbot/*
@@ -171,76 +160,22 @@ docker/volumes/db/data/*
docker/volumes/redis/data/*
docker/volumes/weaviate/*
docker/volumes/qdrant/*
docker/tidb/volumes/*
docker/volumes/etcd/*
docker/volumes/minio/*
docker/volumes/milvus/*
docker/volumes/chroma/*
docker/volumes/opensearch/data/*
docker/volumes/myscale/data/*
docker/volumes/myscale/log/*
docker/volumes/unstructured/*
docker/volumes/pgvector/data/*
docker/volumes/pgvecto_rs/data/*
docker/volumes/couchbase/*
docker/volumes/oceanbase/*
docker/volumes/plugin_daemon/*
docker/volumes/matrixone/*
docker/volumes/mysql/*
docker/volumes/seekdb/*
!docker/volumes/oceanbase/init.d
docker/nginx/conf.d/default.conf
docker/nginx/ssl/*
!docker/nginx/ssl/.gitkeep
docker/middleware.env
docker/docker-compose.override.yaml
sdks/python-client/build
sdks/python-client/dist
sdks/python-client/dify_client.egg-info
.vscode/*
!.vscode/launch.json.template
!.vscode/README.md
!.vscode/launch.json
pyrightconfig.json
api/.vscode
web/.vscode
# vscode Code History Extension
.history
.idea/
# pnpm
/.pnpm-store
# plugin migrate
plugins.jsonl
# mise
mise.toml
# Next.js build output
.next/
# PWA generated files
web/public/sw.js
web/public/sw.js.map
web/public/workbox-*.js
web/public/workbox-*.js.map
web/public/fallback-*.js
# AI Assistant
.roo/
api/.env.backup
/clickzetta
# Benchmark
scripts/stress-test/setup/config/
scripts/stress-test/reports/
# mcp
.playwright-mcp/
.serena/
# settings
*.local.json
.vscode

View File

@@ -1,34 +0,0 @@
{
"mcpServers": {
"context7": {
"type": "http",
"url": "https://mcp.context7.com/mcp"
},
"sequential-thinking": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sequential-thinking"],
"env": {}
},
"github": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_PERSONAL_ACCESS_TOKEN}"
}
},
"fetch": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-server-fetch"],
"env": {}
},
"playwright": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@playwright/mcp@latest"],
"env": {}
}
}
}

14
.vscode/README.md vendored
View File

@@ -1,14 +0,0 @@
# Debugging with VS Code
This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
## How to Use
1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
1. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
1. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
1. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
## Tips
- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.

View File

@@ -1,65 +0,0 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Flask API",
"type": "debugpy",
"request": "launch",
"module": "flask",
"env": {
"FLASK_APP": "app.py",
"FLASK_ENV": "development"
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001",
"--no-debugger",
"--no-reload"
],
"jinja": true,
"justMyCode": true,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Python: Celery Worker (Solo)",
"type": "debugpy",
"request": "launch",
"module": "celery",
"env": {},
"args": [
"-A",
"app.celery",
"worker",
"-P",
"solo",
"-c",
"1",
"-Q",
"dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor",
"--loglevel",
"INFO"
],
"justMyCode": false,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Next.js: debug full stack",
"type": "node",
"request": "launch",
"program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
"runtimeArgs": ["--inspect"],
"skipFiles": ["<node_internals>/**"],
"serverReadyAction": {
"action": "debugWithChrome",
"killOnServerStop": true,
"pattern": "- Local:.+(https?://.+)",
"uriFormat": "%s",
"webRoot": "${workspaceFolder}/web"
},
"cwd": "${workspaceFolder}/web"
}
]
}

View File

@@ -1,5 +0,0 @@
# Windsurf Testing Rules
- Use `web/testing/testing.md` as the single source of truth for frontend automated testing.
- Honor every requirement in that document when generating or accepting tests.
- When proposing or saving tests, re-read that document and follow every requirement.

View File

@@ -1,54 +0,0 @@
# AGENTS.md
## Project Overview
Dify is an open-source platform for developing LLM applications with an intuitive interface combining agentic AI workflows, RAG pipelines, agent capabilities, and model management.
The codebase is split into:
- **Backend API** (`/api`): Python Flask application organized with Domain-Driven Design
- **Frontend Web** (`/web`): Next.js 15 application using TypeScript and React 19
- **Docker deployment** (`/docker`): Containerized deployment configurations
## Backend Workflow
- Run backend CLI commands through `uv run --project api <command>`.
- Before submission, all backend modifications must pass local checks: `make lint`, `make type-check`, and `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
- Use Makefile targets for linting and formatting; `make lint` and `make type-check` cover the required checks.
- Integration tests are CI-only and are not expected to run in the local environment.
## Frontend Workflow
```bash
cd web
pnpm lint:fix
pnpm type-check:tsgo
pnpm test
```
## Testing & Quality Practices
- Follow TDD: red → green → refactor.
- Use `pytest` for backend tests with Arrange-Act-Assert structure.
- Enforce strong typing; avoid `Any` and prefer explicit type annotations.
- Write self-documenting code; only add comments that explain intent.
## Language Style
- **Python**: Keep type hints on functions and attributes, and implement relevant special methods (e.g., `__repr__`, `__str__`).
- **TypeScript**: Use the strict config, rely on ESLint (`pnpm lint:fix` preferred) plus `pnpm type-check:tsgo`, and avoid `any` types.
## General Practices
- Prefer editing existing files; add new documentation only when requested.
- Inject dependencies through constructors and preserve clean architecture boundaries.
- Handle errors with domain-specific exceptions at the correct layer.
## Project Conventions
- Backend architecture adheres to DDD and Clean Architecture principles.
- Async work runs through Celery with Redis as the broker.
- Frontend user-facing strings must use `web/i18n/en-US/`; avoid hardcoded text.

View File

@@ -1 +0,0 @@
AGENTS.md

View File

@@ -1,8 +1,6 @@
# CONTRIBUTING
So you're looking to contribute to Dify - that's awesome, we can't wait to see what you do. As a startup with limited headcount and funding, we have grand ambitions to design the most intuitive workflow for building and managing LLM applications. Any help from the community counts, truly.
We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part.
We need to be nimble and ship fast given where we are, but we also want to make sure that contributors like you get as smooth an experience at contributing as possible. We've assembled this contribution guide for that purpose, aiming at getting you familiarized with the codebase & how we work with contributors, so you could quickly jump to the fun part.
This guide, like Dify itself, is a constant work in progress. We highly appreciate your understanding if at times it lags behind the actual project, and welcome any feedback for us to improve.
@@ -10,90 +8,151 @@ In terms of licensing, please take a minute to read our short [License and Contr
## Before you jump in
Looking for something to tackle? Browse our [good first issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) and pick one to get started!
[Find](https://github.com/langgenius/dify/issues?q=is:issue+is:open) an existing issue, or [open](https://github.com/langgenius/dify/issues/new/choose) a new one. We categorize issues into 2 types:
Got a cool new model runtime or tool to add? Open a PR in our [plugin repo](https://github.com/langgenius/dify-plugins) and show us what you've built.
### Feature requests:
Need to update an existing model runtime, tool, or squash some bugs? Head over to our [official plugin repo](https://github.com/langgenius/dify-official-plugins) and make your magic happen!
* If you're opening a new feature request, we'd like you to explain what the proposed feature achieves, and include as much context as possible. [@perzeusss](https://github.com/perzeuss) has made a solid [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) that helps you draft out your needs. Feel free to give it a try.
Join the fun, contribute, and let's build something awesome together! 💡✨
* If you want to pick one up from the existing issues, simply drop a comment below it saying so.
Don't forget to link an existing issue or open a new issue in the PR's description.
### Bug reports
A team member working in the related direction will be looped in. If all looks good, they will give the go-ahead for you to start coding. We ask that you hold off working on the feature until then, so none of your work goes to waste should we propose changes.
> [!IMPORTANT]
> Please make sure to include the following information when submitting a bug report:
Depending on whichever area the proposed feature falls under, you might talk to different team members. Here's rundown of the areas each our team members are working on at the moment:
- A clear and descriptive title
- A detailed description of the bug, including any error messages
- Steps to reproduce the bug
- Expected behavior
- **Logs**, if available, for backend issues, this is really important, you can find them in docker-compose logs
- Screenshots or videos, if applicable
| Member | Scope |
| ------------------------------------------------------------ | ---------------------------------------------------- |
| [@yeuoly](https://github.com/Yeuoly) | Architecting Agents |
| [@jyong](https://github.com/JohnJyong) | RAG pipeline design |
| [@GarfieldDai](https://github.com/GarfieldDai) | Building workflow orchestrations |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Making our frontend a breeze to use |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Developer experience, points of contact for anything |
| [@takatost](https://github.com/takatost) | Overall product direction and architecture |
How we prioritize:
How we prioritize:
| Issue Type | Priority |
| ------------------------------------------------------------ | --------------- |
| Bugs in core functions (cloud service, cannot login, applications not working, security loopholes) | Critical |
| Non-critical bugs, performance boosts | Medium Priority |
| Minor fixes (typos, confusing but working UI) | Low Priority |
| Feature Type | Priority |
| ------------------------------------------------------------ | --------------- |
| High-Priority Features as being labeled by a team member | High Priority |
| Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
### Feature requests
### Anything else (e.g. bug report, performance optimization, typo correction):
> [!NOTE]
> Please make sure to include the following information when submitting a feature request:
* Start coding right away.
- A clear and descriptive title
- A detailed description of the feature
- A use case for the feature
- Any other context or screenshots about the feature request
How we prioritize:
How we prioritize:
| Issue Type | Priority |
| ------------------------------------------------------------ | --------------- |
| Bugs in core functions (cannot login, applications not working, security loopholes) | Critical |
| Non-critical bugs, performance boosts | Medium Priority |
| Minor fixes (typos, confusing but working UI) | Low Priority |
| Feature Type | Priority |
| ------------------------------------------------------------ | --------------- |
| High-Priority Features as being labeled by a team member | High Priority |
| Popular feature requests from our [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) | Medium Priority |
| Non-core features and minor enhancements | Low Priority |
| Valuable but not immediate | Future-Feature |
## Installing
Here are the steps to set up Dify for development:
### 1. Fork this repository
### 2. Clone the repo
Clone the forked repository from your terminal:
```
git clone git@github.com:<github_username>/dify.git
```
### 3. Verify dependencies
Dify requires the following dependencies to build, make sure they're installed on your system:
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. Installations
Dify is composed of a backend and a frontend. Navigate to the backend directory by `cd api/`, then follow the [Backend README](api/README.md) to install it. In a separate terminal, navigate to the frontend directory by `cd web/`, then follow the [Frontend README](web/README.md) to install.
Check the [installation FAQ](https://docs.dify.ai/learn-more/faq/self-host-faq) for a list of common issues and steps to troubleshoot.
### 5. Visit dify in your browser
To validate your set up, head over to [http://localhost:3000](http://localhost:3000) (the default, or your self-configured URL and port) in your browser. You should now see Dify up and running.
## Developing
If you are adding a model provider, [this guide](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) is for you.
If you are adding a tool provider to Agent or Workflow, [this guide](./api/core/tools/README.md) is for you.
To help you quickly navigate where your contribution fits, a brief, annotated outline of Dify's backend & frontend is as follows:
### Backend
Difys backend is written in Python using [Flask](https://flask.palletsprojects.com/en/3.0.x/). It uses [SQLAlchemy](https://www.sqlalchemy.org/) for ORM and [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) for task queueing. Authorization logic goes via Flask-login.
```
[api/]
├── constants // Constant settings used throughout code base.
├── controllers // API route definitions and request handling logic.
├── core // Core application orchestration, model integrations, and tools.
├── docker // Docker & containerization related configurations.
├── events // Event handling and processing
├── extensions // Extensions with 3rd party frameworks/platforms.
├── fields // field definitions for serialization/marshalling.
├── libs // Reusable libraries and helpers.
├── migrations // Scripts for database migration.
├── models // Database models & schema definitions.
├── services // Specifies business logic.
├── storage // Private key storage.
├── tasks // Handling of async tasks and background jobs.
└── tests
```
### Frontend
The website is bootstrapped on [Next.js](https://nextjs.org/) boilerplate in Typescript and uses [Tailwind CSS](https://tailwindcss.com/) for styling. [React-i18next](https://react.i18next.com/) is used for internationalization.
```
[web/]
├── app // layouts, pages, and components
│ ├── (commonLayout) // common layout used throughout the app
│ ├── (shareLayout) // layouts specifically shared across token-specific sessions
│ ├── activate // activate page
│ ├── components // shared by pages and layouts
│ ├── install // install page
│ ├── signin // signin page
│ └── styles // globally shared styles
├── assets // Static assets
├── bin // scripts ran at build step
├── config // adjustable settings and options
├── context // shared contexts used by different portions of the app
├── dictionaries // Language-specific translate files
├── docker // container configurations
├── hooks // Reusable hooks
├── i18n // Internationalization configuration
├── models // describes data models & shapes of API responses
├── public // meta assets like favicon
├── service // specifies shapes of API actions
├── test
├── types // descriptions of function params and return values
└── utils // Shared utility functions
```
## Submitting your PR
### Pull Request Process
At last, time to open a pull request (PR) to our repo. For major features, we first merge them into the `deploy/dev` branch for testing, before they go into the `main` branch. If you run into issues like merge conflicts or don't know how to open a pull request, check out [GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
1. Fork the repository
1. Before you draft a PR, please create an issue to discuss the changes you want to make
1. Create a new branch for your changes
1. Please add tests for your changes accordingly
1. Ensure your code passes the existing tests
1. Please link the issue in the PR description, `fixes #<issue_number>`
1. Get merged!
### Setup the project
#### Frontend
For setting up the frontend service, please refer to our comprehensive [guide](https://github.com/langgenius/dify/blob/main/web/README.md) in the `web/README.md` file. This document provides detailed instructions to help you set up the frontend environment properly.
**Testing**: All React components must have comprehensive test coverage. See [web/testing/testing.md](https://github.com/langgenius/dify/blob/main/web/testing/testing.md) for the canonical frontend testing guidelines and follow every requirement described there.
#### Backend
For setting up the backend service, kindly refer to our detailed [instructions](https://github.com/langgenius/dify/blob/main/api/README.md) in the `api/README.md` file. This document contains step-by-step guidance to help you get the backend up and running smoothly.
#### Other things to note
We recommend reviewing this document carefully before proceeding with the setup, as it contains essential information about:
- Prerequisites and dependencies
- Installation steps
- Configuration details
- Common troubleshooting tips
Feel free to reach out if you encounter any issues during the setup process.
And that's it! Once your PR is merged, you will be featured as a contributor in our [README](https://github.com/langgenius/dify/blob/main/README.md).
## Getting Help
If you ever get stuck or get a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
If you ever get stuck or got a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.

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所以你想为 Dify 做贡献 - 这太棒了,我们迫不及待地想看到你的贡献。作为一家人员和资金有限的初创公司,我们有着雄心勃勃的目标,希望设计出最直观的工作流程来构建和管理 LLM 应用程序。社区的任何帮助都是宝贵的。
考虑到我们的现状,我们需要灵活快速地交付,但我们也希望确保像你这样的贡献者在贡献过程中获得尽可能顺畅的体验。我们为此编写了这份贡献指南,旨在让你熟悉代码库和我们与贡献者的合作方式,以便你能快速进入有趣的部分。
这份指南,就像 Dify 本身一样,是一个不断改进的工作。如果有时它落后于实际项目,我们非常感谢你的理解,并欢迎提供任何反馈以供我们改进。
在许可方面,请花一分钟阅读我们简短的 [许可证和贡献者协议](./LICENSE)。社区还遵守 [行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
## 在开始之前
[查找](https://github.com/langgenius/dify/issues?q=is:issue+is:open)现有问题,或 [创建](https://github.com/langgenius/dify/issues/new/choose) 一个新问题。我们将问题分为两类:
### 功能请求:
* 如果您要提出新的功能请求,请解释所提议的功能的目标,并尽可能提供详细的上下文。[@perzeusss](https://github.com/perzeuss) 制作了一个很好的 [功能请求助手](https://udify.app/chat/MK2kVSnw1gakVwMX),可以帮助您起草需求。随时尝试一下。
* 如果您想从现有问题中选择一个,请在其下方留下评论表示您的意愿。
相关方向的团队成员将参与其中。如果一切顺利,他们将批准您开始编码。在此之前,请不要开始工作,以免我们提出更改导致您的工作付诸东流。
根据所提议的功能所属的领域不同,您可能需要与不同的团队成员交流。以下是我们团队成员目前正在从事的各个领域的概述:
| 团队成员 | 工作范围 |
| ------------------------------------------------------------ | ---------------------------------------------------- |
| [@yeuoly](https://github.com/Yeuoly) | 架构 Agents |
| [@jyong](https://github.com/JohnJyong) | RAG 流水线设计 |
| [@GarfieldDai](https://github.com/GarfieldDai) | 构建 workflow 编排 |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | 让我们的前端更易用 |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 开发人员体验, 综合事项联系人 |
| [@takatost](https://github.com/takatost) | 产品整体方向和架构 |
事项优先级:
| 功能类型 | 优先级 |
| ------------------------------------------------------------ | --------------- |
| 被团队成员标记为高优先级的功能 | 高优先级 |
| 在 [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) 内反馈的常见功能请求 | 中等优先级 |
| 非核心功能和小幅改进 | 低优先级 |
| 有价值当不紧急 | 未来功能 |
### 其他任何事情(例如 bug 报告、性能优化、拼写错误更正):
* 立即开始编码。
事项优先级:
| Issue 类型 | 优先级 |
| ------------------------------------------------------------ | --------------- |
| 核心功能的 Bugs例如无法登录、应用无法工作、安全漏洞 | 紧急 |
| 非紧急 bugs, 性能提升 | 中等优先级 |
| 小幅修复(错别字, 能正常工作但存在误导的 UI) | 低优先级 |
## 安装
以下是设置 Dify 进行开发的步骤:
### 1. Fork 该仓库
### 2. 克隆仓库
从终端克隆代码仓库:
```
git clone git@github.com:<github_username>/dify.git
```
### 3. 验证依赖项
Dify 依赖以下工具和库:
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. 安装
Dify 由后端和前端组成。通过 `cd api/` 导航到后端目录,然后按照 [后端 README](api/README.md) 进行安装。在另一个终端中,通过 `cd web/` 导航到前端目录,然后按照 [前端 README](web/README.md) 进行安装。
查看 [安装常见问题解答](https://docs.dify.ai/v/zh-hans/learn-more/faq/install-faq) 以获取常见问题列表和故障排除步骤。
### 5. 在浏览器中访问 Dify
为了验证您的设置,打开浏览器并访问 [http://localhost:3000](http://localhost:3000)(默认或您自定义的 URL 和端口)。现在您应该看到 Dify 正在运行。
## 开发
如果您要添加模型提供程序,请参考 [此指南](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)。
如果您要向 Agent 或 Workflow 添加工具提供程序,请参考 [此指南](./api/core/tools/README.md)。
为了帮助您快速了解您的贡献在哪个部分,以下是 Dify 后端和前端的简要注释大纲:
### 后端
Dify 的后端使用 Python 编写,使用 [Flask](https://flask.palletsprojects.com/en/3.0.x/) 框架。它使用 [SQLAlchemy](https://www.sqlalchemy.org/) 作为 ORM使用 [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) 作为任务队列。授权逻辑通过 Flask-login 进行处理。
```
[api/]
├── constants // 用于整个代码库的常量设置。
├── controllers // API 路由定义和请求处理逻辑。
├── core // 核心应用编排、模型集成和工具。
├── docker // Docker 和容器化相关配置。
├── events // 事件处理和处理。
├── extensions // 与第三方框架/平台的扩展。
├── fields // 用于序列化/封装的字段定义。
├── libs // 可重用的库和助手。
├── migrations // 数据库迁移脚本。
├── models // 数据库模型和架构定义。
├── services // 指定业务逻辑。
├── storage // 私钥存储。
├── tasks // 异步任务和后台作业的处理。
└── tests
```
### 前端
该网站使用基于 Typescript 的 [Next.js](https://nextjs.org/) 模板进行引导,并使用 [Tailwind CSS](https://tailwindcss.com/) 进行样式设计。[React-i18next](https://react.i18next.com/) 用于国际化。
```
[web/]
├── app // 布局、页面和组件
│ ├── (commonLayout) // 整个应用通用的布局
│ ├── (shareLayout) // 在特定会话中共享的布局
│ ├── activate // 激活页面
│ ├── components // 页面和布局共享的组件
│ ├── install // 安装页面
│ ├── signin // 登录页面
│ └── styles // 全局共享的样式
├── assets // 静态资源
├── bin // 构建步骤运行的脚本
├── config // 可调整的设置和选项
├── context // 应用中不同部分使用的共享上下文
├── dictionaries // 语言特定的翻译文件
├── docker // 容器配置
├── hooks // 可重用的钩子
├── i18n // 国际化配置
├── models // 描述数据模型和 API 响应的形状
├── public // 如 favicon 等元资源
├── service // 定义 API 操作的形状
├── test
├── types // 函数参数和返回值的描述
└── utils // 共享的实用函数
```
## 提交你的 PR
最后是时候向我们的仓库提交一个拉取请求PR了。对于重要的功能我们首先将它们合并到 `deploy/dev` 分支进行测试,然后再合并到 `main` 分支。如果你遇到合并冲突或者不知道如何提交拉取请求的问题,请查看 [GitHub 的拉取请求教程](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests)。
就是这样!一旦你的 PR 被合并,你将成为我们 [README](https://github.com/langgenius/dify/blob/main/README.md) 中的贡献者。
## 获取帮助
如果你在贡献过程中遇到困难或者有任何问题,可以通过相关的 GitHub 问题提出你的疑问,或者加入我们的 [Discord](https://discord.gg/8Tpq4AcN9c) 进行快速交流。

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Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなた様のようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解のほどよろしくお願いいたします。
ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
## 飛び込む前に
[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:open) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
### 機能リクエスト
* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くのコンテキストを含めてください。[@perzeusss](https://github.com/perzeuss)は、あなた様の要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなた様の作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
提案された機能がどの分野に属するかによって、あなた様は異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
| Member | Scope |
| --------------------------------------------------------------------------------------- | ------------------------------------ |
| [@yeuoly](https://github.com/Yeuoly) | エージェントアーキテクチャ |
| [@jyong](https://github.com/JohnJyong) | RAG パイプライン設計 |
| [@GarfieldDai](https://github.com/GarfieldDai) | workflow orchestrations の構築 |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | フロントエンドを使いやすくする |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口 |
| [@takatost](https://github.com/takatost) | 全体的な製品の方向性とアーキテクチャ |
優先順位の付け方:
| Feature Type | Priority |
| --------------------------------------------------------------------------------------------------------------------- | --------------- |
| チームメンバーによってラベル付けされた優先度の高い機能 | High Priority |
| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
| 非コア機能とマイナーな機能強化 | Low Priority |
| 価値はあるが即効性はない | Future-Feature |
### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
* すぐにコーディングを始めてください
優先順位の付け方:
| Issue Type | Priority |
| -------------------------------------------------------------------------------------- | --------------- |
| コア機能のバグ(ログインできない、アプリケーションが動作しない、セキュリティの抜け穴) | Critical |
| 致命的でないバグ、パフォーマンス向上 | Medium Priority |
| 細かな修正(誤字脱字、機能はするが分かりにくい UI | Low Priority |
## インストール
以下の手順で 、Difyのセットアップをしてください。
### 1. このリポジトリをフォークする
### 2. リポジトリをクローンする
フォークしたリポジトリをターミナルからクローンします。
```
git clone git@github.com:<github_username>/dify.git
```
### 3. 依存関係の確認
Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
### 4. インストール
Dify はバックエンドとフロントエンドから構成されています。
まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/v/japanese/learn-more/faq/install-faq) を確認してください。
### 5. ブラウザで dify にアクセスする
設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
## 開発中
モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
Dify のバックエンドとフロントエンドの概要を簡単に説明します。
### バックエンド
Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
```
[api/]
├── constants // コードベース全体で使用される定数設定
├── controllers // APIルート定義とリクエスト処理ロジック
├── core // アプリケーションの中核的な管理、モデル統合、およびツール
├── docker // Dockerおよびコンテナ関連の設定
├── events // イベントのハンドリングと処理
├── extensions // 第三者のフレームワーク/プラットフォームとの拡張
├── fields // シリアライゼーション/マーシャリング用のフィールド定義
├── libs // 再利用可能なライブラリとヘルパー
├── migrations // データベースマイグレーションスクリプト
├── models // データベースモデルとスキーマ定義
├── services // ビジネスロジックの定義
├── storage // 秘密鍵の保存
├── tasks // 非同期タスクとバックグラウンドジョブの処理
└── tests // テスト関連のファイル
```
### フロントエンド
このウェブサイトは、Typescriptベースの[Next.js](https://nextjs.org/)テンプレートを使ってブートストラップされ、[Tailwind CSS](https://tailwindcss.com/)を使ってスタイリングされています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
```
[web/]
├── app // レイアウト、ページ、コンポーネント
│ ├── (commonLayout) // アプリ全体で共通のレイアウト
│ ├── (shareLayout) // トークン特有のセッションで共有されるレイアウト
│ ├── activate // アクティベートページ
│ ├── components // ページやレイアウトで共有されるコンポーネント
│ ├── install // インストールページ
│ ├── signin // サインインページ
│ └── styles // グローバルに共有されるスタイル
├── assets // 静的アセット
├── bin // ビルドステップで実行されるスクリプト
├── config // 調整可能な設定とオプション
├── context // アプリの異なる部分で使用される共有コンテキスト
├── dictionaries // 言語別の翻訳ファイル
├── docker // コンテナ設定
├── hooks // 再利用可能なフック
├── i18n // 国際化設定
├── models // データモデルとAPIレスポンスの形状を記述
├── public // ファビコンなどのメタアセット
├── service // APIアクションの形状を指定
├── test
├── types // 関数のパラメータと戻り値の記述
└── utils // 共有ユーティリティ関数
```
## PR を投稿する
いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
これで完了です!あなた様の PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
## ヘルプを得る
コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。

156
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@@ -0,0 +1,156 @@
Thật tuyệt vời khi bạn muốn đóng góp cho Dify! Chúng tôi rất mong chờ được thấy những gì bạn sẽ làm. Là một startup với nguồn nhân lực và tài chính hạn chế, chúng tôi có tham vọng lớn là thiết kế quy trình trực quan nhất để xây dựng và quản lý các ứng dụng LLM. Mọi sự giúp đỡ từ cộng đồng đều rất quý giá đối với chúng tôi.
Chúng tôi cần linh hoạt và làm việc nhanh chóng, nhưng đồng thời cũng muốn đảm bảo các cộng tác viên như bạn có trải nghiệm đóng góp thuận lợi nhất có thể. Chúng tôi đã tạo ra hướng dẫn đóng góp này nhằm giúp bạn làm quen với codebase và cách chúng tôi làm việc với các cộng tác viên, để bạn có thể nhanh chóng bắt tay vào phần thú vị.
Hướng dẫn này, cũng như bản thân Dify, đang trong quá trình cải tiến liên tục. Chúng tôi rất cảm kích sự thông cảm của bạn nếu đôi khi nó không theo kịp dự án thực tế, và chúng tôi luôn hoan nghênh mọi phản hồi để cải thiện.
Về vấn đề cấp phép, xin vui lòng dành chút thời gian đọc qua [Thỏa thuận Cấp phép và Đóng góp](./LICENSE) ngắn gọn của chúng tôi. Cộng đồng cũng tuân thủ [quy tắc ứng xử](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md).
## Trước khi bắt đầu
[Tìm kiếm](https://github.com/langgenius/dify/issues?q=is:issue+is:open) một vấn đề hiện có, hoặc [tạo mới](https://github.com/langgenius/dify/issues/new/choose) một vấn đề. Chúng tôi phân loại các vấn đề thành 2 loại:
### Yêu cầu tính năng:
* Nếu bạn đang tạo một yêu cầu tính năng mới, chúng tôi muốn bạn giải thích tính năng đề xuất sẽ đạt được điều gì và cung cấp càng nhiều thông tin chi tiết càng tốt. [@perzeusss](https://github.com/perzeuss) đã tạo một [Trợ lý Yêu cầu Tính năng](https://udify.app/chat/MK2kVSnw1gakVwMX) rất hữu ích để giúp bạn soạn thảo nhu cầu của mình. Hãy thử dùng nó nhé.
* Nếu bạn muốn chọn một vấn đề từ danh sách hiện có, chỉ cần để lại bình luận dưới vấn đề đó nói rằng bạn sẽ làm.
Một thành viên trong nhóm làm việc trong lĩnh vực liên quan sẽ được thông báo. Nếu mọi thứ ổn, họ sẽ cho phép bạn bắt đầu code. Chúng tôi yêu cầu bạn chờ đợi cho đến lúc đó trước khi bắt tay vào làm tính năng, để không lãng phí công sức của bạn nếu chúng tôi đề xuất thay đổi.
Tùy thuộc vào lĩnh vực mà tính năng đề xuất thuộc về, bạn có thể nói chuyện với các thành viên khác nhau trong nhóm. Dưới đây là danh sách các lĩnh vực mà các thành viên trong nhóm chúng tôi đang làm việc hiện tại:
| Thành viên | Phạm vi |
| ------------------------------------------------------------ | ---------------------------------------------------- |
| [@yeuoly](https://github.com/Yeuoly) | Thiết kế kiến trúc Agents |
| [@jyong](https://github.com/JohnJyong) | Thiết kế quy trình RAG |
| [@GarfieldDai](https://github.com/GarfieldDai) | Xây dựng quy trình làm việc |
| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh) | Làm cho giao diện người dùng dễ sử dụng |
| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | Trải nghiệm nhà phát triển, đầu mối liên hệ cho mọi vấn đề |
| [@takatost](https://github.com/takatost) | Định hướng và kiến trúc tổng thể sản phẩm |
Cách chúng tôi ưu tiên:
| Loại tính năng | Mức độ ưu tiên |
| ------------------------------------------------------------ | -------------- |
| Tính năng ưu tiên cao được gắn nhãn bởi thành viên trong nhóm | Ưu tiên cao |
| Yêu cầu tính năng phổ biến từ [bảng phản hồi cộng đồng](https://github.com/langgenius/dify/discussions/categories/feedbacks) của chúng tôi | Ưu tiên trung bình |
| Tính năng không quan trọng và cải tiến nhỏ | Ưu tiên thấp |
| Có giá trị nhưng không cấp bách | Tính năng tương lai |
### Những vấn đề khác (ví dụ: báo cáo lỗi, tối ưu hiệu suất, sửa lỗi chính tả):
* Bắt đầu code ngay lập tức.
Cách chúng tôi ưu tiên:
| Loại vấn đề | Mức độ ưu tiên |
| ------------------------------------------------------------ | -------------- |
| Lỗi trong các chức năng chính (không thể đăng nhập, ứng dụng không hoạt động, lỗ hổng bảo mật) | Nghiêm trọng |
| Lỗi không quan trọng, cải thiện hiệu suất | Ưu tiên trung bình |
| Sửa lỗi nhỏ (lỗi chính tả, giao diện người dùng gây nhầm lẫn nhưng vẫn hoạt động) | Ưu tiên thấp |
## Cài đặt
Dưới đây là các bước để thiết lập Dify cho việc phát triển:
### 1. Fork repository này
### 2. Clone repository
Clone repository đã fork từ terminal của bạn:
```
git clone git@github.com:<tên_người_dùng_github>/dify.git
```
### 3. Kiểm tra các phụ thuộc
Dify yêu cầu các phụ thuộc sau để build, hãy đảm bảo chúng đã được cài đặt trên hệ thống của bạn:
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) phiên bản 8.x.x hoặc [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) phiên bản 3.10.x
### 4. Cài đặt
Dify bao gồm một backend và một frontend. Đi đến thư mục backend bằng lệnh `cd api/`, sau đó làm theo hướng dẫn trong [README của Backend](api/README.md) để cài đặt. Trong một terminal khác, đi đến thư mục frontend bằng lệnh `cd web/`, sau đó làm theo hướng dẫn trong [README của Frontend](web/README.md) để cài đặt.
Kiểm tra [FAQ về cài đặt](https://docs.dify.ai/learn-more/faq/self-host-faq) để xem danh sách các vấn đề thường gặp và các bước khắc phục.
### 5. Truy cập Dify trong trình duyệt của bạn
Để xác nhận cài đặt của bạn, hãy truy cập [http://localhost:3000](http://localhost:3000) (địa chỉ mặc định, hoặc URL và cổng bạn đã cấu hình) trong trình duyệt. Bạn sẽ thấy Dify đang chạy.
## Phát triển
Nếu bạn đang thêm một nhà cung cấp mô hình, [hướng dẫn này](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md) dành cho bạn.
Nếu bạn đang thêm một nhà cung cấp công cụ cho Agent hoặc Workflow, [hướng dẫn này](./api/core/tools/README.md) dành cho bạn.
Để giúp bạn nhanh chóng định hướng phần đóng góp của mình, dưới đây là một bản phác thảo ngắn gọn về cấu trúc backend & frontend của Dify:
### Backend
Backend của Dify được viết bằng Python sử dụng [Flask](https://flask.palletsprojects.com/en/3.0.x/). Nó sử dụng [SQLAlchemy](https://www.sqlalchemy.org/) cho ORM và [Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html) cho hàng đợi tác vụ. Logic xác thực được thực hiện thông qua Flask-login.
```
[api/]
├── constants // Các cài đặt hằng số được sử dụng trong toàn bộ codebase.
├── controllers // Định nghĩa các route API và logic xử lý yêu cầu.
├── core // Điều phối ứng dụng cốt lõi, tích hợp mô hình và công cụ.
├── docker // Cấu hình liên quan đến Docker & containerization.
├── events // Xử lý và xử lý sự kiện
├── extensions // Mở rộng với các framework/nền tảng bên thứ 3.
├── fields // Định nghĩa trường cho serialization/marshalling.
├── libs // Thư viện và tiện ích có thể tái sử dụng.
├── migrations // Script cho việc di chuyển cơ sở dữ liệu.
├── models // Mô hình cơ sở dữ liệu & định nghĩa schema.
├── services // Xác định logic nghiệp vụ.
├── storage // Lưu trữ khóa riêng tư.
├── tasks // Xử lý các tác vụ bất đồng bộ và công việc nền.
└── tests
```
### Frontend
Website được khởi tạo trên boilerplate [Next.js](https://nextjs.org/) bằng Typescript và sử dụng [Tailwind CSS](https://tailwindcss.com/) cho styling. [React-i18next](https://react.i18next.com/) được sử dụng cho việc quốc tế hóa.
```
[web/]
├── app // layouts, pages và components
│ ├── (commonLayout) // layout chung được sử dụng trong toàn bộ ứng dụng
│ ├── (shareLayout) // layouts được chia sẻ cụ thể cho các phiên dựa trên token
│ ├── activate // trang kích hoạt
│ ├── components // được chia sẻ bởi các trang và layouts
│ ├── install // trang cài đặt
│ ├── signin // trang đăng nhập
│ └── styles // styles được chia sẻ toàn cục
├── assets // Tài nguyên tĩnh
├── bin // scripts chạy ở bước build
├── config // cài đặt và tùy chọn có thể điều chỉnh
├── context // contexts được chia sẻ bởi các phần khác nhau của ứng dụng
├── dictionaries // File dịch cho từng ngôn ngữ
├── docker // cấu hình container
├── hooks // Hooks có thể tái sử dụng
├── i18n // Cấu hình quốc tế hóa
├── models // mô tả các mô hình dữ liệu & hình dạng của phản hồi API
├── public // tài nguyên meta như favicon
├── service // xác định hình dạng của các hành động API
├── test
├── types // mô tả các tham số hàm và giá trị trả về
└── utils // Các hàm tiện ích được chia sẻ
```
## Gửi PR của bạn
Cuối cùng, đã đến lúc mở một pull request (PR) đến repository của chúng tôi. Đối với các tính năng lớn, chúng tôi sẽ merge chúng vào nhánh `deploy/dev` để kiểm tra trước khi đưa vào nhánh `main`. Nếu bạn gặp vấn đề như xung đột merge hoặc không biết cách mở pull request, hãy xem [hướng dẫn về pull request của GitHub](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests).
Và thế là xong! Khi PR của bạn được merge, bạn sẽ được giới thiệu là một người đóng góp trong [README](https://github.com/langgenius/dify/blob/main/README.md) của chúng tôi.
## Nhận trợ giúp
Nếu bạn gặp khó khăn hoặc có câu hỏi cấp bách trong quá trình đóng góp, hãy đặt câu hỏi của bạn trong vấn đề GitHub liên quan, hoặc tham gia [Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi để trò chuyện nhanh chóng.

26
LICENSE
View File

@@ -1,14 +1,15 @@
# Open Source License
Dify is licensed under a modified version of the Apache License 2.0, with the following additional conditions:
Dify is licensed under the Apache License 2.0, with the following additional conditions:
1. Dify may be utilized commercially, including as a backend service for other applications or as an application development platform for enterprises. Should the conditions below be met, a commercial license must be obtained from the producer:
a. Multi-tenant service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
a. Multi-tenant SaaS service: Unless explicitly authorized by Dify in writing, you may not use the Dify source code to operate a multi-tenant environment.
- Tenant Definition: Within the context of Dify, one tenant corresponds to one workspace. The workspace provides a separated area for each tenant's data and configurations.
b. LOGO and copyright information: In the process of using Dify's frontend, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend.
- Frontend Definition: For the purposes of this license, the "frontend" of Dify includes all components located in the `web/` directory when running Dify from the raw source code, or the "web" image when running Dify with Docker.
b. LOGO and copyright information: In the process of using Dify's frontend components, you may not remove or modify the LOGO or copyright information in the Dify console or applications. This restriction is inapplicable to uses of Dify that do not involve its frontend components.
Please contact business@dify.ai by email to inquire about licensing matters.
2. As a contributor, you should agree that:
@@ -19,4 +20,19 @@ Apart from the specific conditions mentioned above, all other rights and restric
The interactive design of this product is protected by appearance patent.
© 2025 LangGenius, Inc.
© 2024 LangGenius, Inc.
----------
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

View File

@@ -4,77 +4,6 @@ WEB_IMAGE=$(DOCKER_REGISTRY)/dify-web
API_IMAGE=$(DOCKER_REGISTRY)/dify-api
VERSION=latest
# Default target - show help
.DEFAULT_GOAL := help
# Backend Development Environment Setup
.PHONY: dev-setup prepare-docker prepare-web prepare-api
# Dev setup target
dev-setup: prepare-docker prepare-web prepare-api
@echo "✅ Backend development environment setup complete!"
# Step 1: Prepare Docker middleware
prepare-docker:
@echo "🐳 Setting up Docker middleware..."
@cp -n docker/middleware.env.example docker/middleware.env 2>/dev/null || echo "Docker middleware.env already exists"
@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev up -d
@echo "✅ Docker middleware started"
# Step 2: Prepare web environment
prepare-web:
@echo "🌐 Setting up web environment..."
@cp -n web/.env.example web/.env 2>/dev/null || echo "Web .env already exists"
@cd web && pnpm install
@echo "✅ Web environment prepared (not started)"
# Step 3: Prepare API environment
prepare-api:
@echo "🔧 Setting up API environment..."
@cp -n api/.env.example api/.env 2>/dev/null || echo "API .env already exists"
@cd api && uv sync --dev
@cd api && uv run flask db upgrade
@echo "✅ API environment prepared (not started)"
# Clean dev environment
dev-clean:
@echo "⚠️ Stopping Docker containers..."
@cd docker && docker compose -f docker-compose.middleware.yaml --env-file middleware.env -p dify-middlewares-dev down
@echo "🗑️ Removing volumes..."
@rm -rf docker/volumes/db
@rm -rf docker/volumes/redis
@rm -rf docker/volumes/plugin_daemon
@rm -rf docker/volumes/weaviate
@rm -rf api/storage
@echo "✅ Cleanup complete"
# Backend Code Quality Commands
format:
@echo "🎨 Running ruff format..."
@uv run --project api --dev ruff format ./api
@echo "✅ Code formatting complete"
check:
@echo "🔍 Running ruff check..."
@uv run --project api --dev ruff check ./api
@echo "✅ Code check complete"
lint:
@echo "🔧 Running ruff format, check with fixes, and import linter..."
@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
@uv run --directory api --dev lint-imports
@echo "✅ Linting complete"
type-check:
@echo "📝 Running type check with basedpyright..."
@uv run --directory api --dev basedpyright
@echo "✅ Type check complete"
test:
@echo "🧪 Running backend unit tests..."
@uv run --project api --dev dev/pytest/pytest_unit_tests.sh
@echo "✅ Tests complete"
# Build Docker images
build-web:
@echo "Building web Docker image: $(WEB_IMAGE):$(VERSION)..."
@@ -110,28 +39,5 @@ build-push-web: build-web push-web
build-push-all: build-all push-all
@echo "All Docker images have been built and pushed."
# Help target
help:
@echo "Development Setup Targets:"
@echo " make dev-setup - Run all setup steps for backend dev environment"
@echo " make prepare-docker - Set up Docker middleware"
@echo " make prepare-web - Set up web environment"
@echo " make prepare-api - Set up API environment"
@echo " make dev-clean - Stop Docker middleware containers"
@echo ""
@echo "Backend Code Quality:"
@echo " make format - Format code with ruff"
@echo " make check - Check code with ruff"
@echo " make lint - Format and fix code with ruff"
@echo " make type-check - Run type checking with basedpyright"
@echo " make test - Run backend unit tests"
@echo ""
@echo "Docker Build Targets:"
@echo " make build-web - Build web Docker image"
@echo " make build-api - Build API Docker image"
@echo " make build-all - Build all Docker images"
@echo " make push-all - Push all Docker images"
@echo " make build-push-all - Build and push all Docker images"
# Phony targets
.PHONY: build-web build-api push-web push-api build-all push-all build-push-all dev-setup prepare-docker prepare-web prepare-api dev-clean help format check lint type-check test
.PHONY: build-web build-api push-web push-api build-all push-all build-push-all

266
README.md
View File

@@ -1,14 +1,10 @@
![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
</p>
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://dify.ai/pricing">Dify edition overview</a>
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
</p>
<p align="center">
@@ -19,15 +15,9 @@
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://reddit.com/r/difyai" target="_blank">
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
alt="join Reddit"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
@@ -36,96 +26,135 @@
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
<a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
<img alt="LFX Health Score" src="https://insights.linuxfoundation.org/api/badge/health-score?project=langgenius-dify"></a>
<a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
<img alt="LFX Contributors" src="https://insights.linuxfoundation.org/api/badge/contributors?project=langgenius-dify"></a>
<a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
<img alt="LFX Active Contributors" src="https://insights.linuxfoundation.org/api/badge/active-contributors?project=langgenius-dify"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./docs/zh-TW/README.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
<a href="./docs/zh-CN/README.md"><img alt="简体中文文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./docs/ja-JP/README.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./docs/es-ES/README.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./docs/fr-FR/README.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./docs/tlh/README.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./docs/ko-KR/README.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./docs/ar-SA/README.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./docs/tr-TR/README.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./docs/vi-VN/README.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./docs/de-DE/README.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
<a href="./docs/bn-BD/README.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move from prototype to production.
## Quick start
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
</br> </br>
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
> - CPU >= 2 Core
> - RAM >= 4 GiB
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
<br/>
The easiest way to start the Dify server is through [Docker Compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
```bash
cd dify
cd docker
cp .env.example .env
docker compose up -d
```
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
#### Seeking help
Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues.
> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Key features
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
**4. RAG Pipeline**:
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
**5. Agent capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
**4. RAG Pipeline**:
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
**6. LLMOps**:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
**5. Agent capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
**7. Backend-as-a-Service**:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
**6. LLMOps**:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
**7. Backend-as-a-Service**:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
## Feature comparison
<table style="width: 100%;">
<tr>
<th align="center">Feature</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programming Approach</td>
<td align="center">API + App-oriented</td>
<td align="center">Python Code</td>
<td align="center">App-oriented</td>
<td align="center">API-oriented</td>
</tr>
<tr>
<td align="center">Supported LLMs</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">OpenAI-only</td>
</tr>
<tr>
<td align="center">RAG Engine</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Workflow</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Observability</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Enterprise Features (SSO/Access control)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Local Deployment</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Using Dify
- **Cloud <br/>**
We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
- **Cloud </br>**
We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
- **Self-hosting Dify Community Edition<br/>**
Quickly get Dify running in your environment with this [starter guide](#quick-start).
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Self-hosting Dify Community Edition</br>**
Quickly get Dify running in your environment with this [starter guide](#quick-start).
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Dify for enterprise / organizations<br/>**
We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss your enterprise needs. <br/>
- **Dify for enterprise / organizations</br>**
We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
## Staying ahead
@@ -133,88 +162,51 @@ Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Advanced Setup
### Custom configurations
If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
## Quick start
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
>- CPU >= 2 Core
>- RAM >= 4GB
#### Customizing Suggested Questions
</br>
You can now customize the "Suggested Questions After Answer" feature to better fit your use case. For example, to generate longer, more technical questions:
The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
# In your .env file
SUGGESTED_QUESTIONS_PROMPT='Please help me predict the five most likely technical follow-up questions a developer would ask. Focus on implementation details, best practices, and architecture considerations. Keep each question between 40-60 characters. Output must be JSON array: ["question1","question2","question3","question4","question5"]'
SUGGESTED_QUESTIONS_MAX_TOKENS=512
SUGGESTED_QUESTIONS_TEMPERATURE=0.3
cd docker
cp .env.example .env
docker compose up -d
```
See the [Suggested Questions Configuration Guide](docs/suggested-questions-configuration.md) for detailed examples and usage instructions.
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
### Metrics Monitoring with Grafana
> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
Import the dashboard to Grafana, using Dify's PostgreSQL database as data source, to monitor metrics in granularity of apps, tenants, messages, and more.
## Next steps
- [Grafana Dashboard by @bowenliang123](https://github.com/bowenliang123/dify-grafana-dashboard)
### Deployment with Kubernetes
If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
#### Using Terraform for Deployment
Deploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/)
##### Azure Global
Deploy Dify to Azure with a single click using [terraform](https://www.terraform.io/).
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Using AWS CDK for Deployment
Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao (EKS based)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
- [AWS CDK by @tmokmss (ECS based)](https://github.com/aws-samples/dify-self-hosted-on-aws)
#### Using Alibaba Cloud Computing Nest
Quickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
#### Using Alibaba Cloud Data Management
One-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
#### Deploy to AKS with Azure Devops Pipeline
One-Click deploy Dify to AKS with [Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
## Community & contact
- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
**Contributors**
@@ -222,14 +214,22 @@ At the same time, please consider supporting Dify by sharing it on social media
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Community & contact
* [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Security disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with detailed answer.
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
## License
This repository is licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">الاستضافة الذاتية</a> ·
<a href="https://docs.dify.ai">التوثيق</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
<div style="text-align: right;">
مشروع Dify هو منصة تطوير تطبيقات الذكاء الصناعي مفتوحة المصدر. تجمع واجهته البديهية بين سير العمل الذكي بالذكاء الاصطناعي وخط أنابيب RAG وقدرات الوكيل وإدارة النماذج وميزات الملاحظة وأكثر من ذلك، مما يتيح لك الانتقال بسرعة من المرحلة التجريبية إلى الإنتاج. إليك قائمة بالميزات الأساسية:
</br> </br>
**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. بيئة التطوير للأوامر**: واجهة بيئة التطوير المبتكرة لصياغة الأمر ومقارنة أداء النموذج، وإضافة ميزات إضافية مثل تحويل النص إلى كلام إلى تطبيق قائم على الدردشة.
**4. خط أنابيب RAG**: قدرات RAG الواسعة التي تغطي كل شيء من استيعاب الوثائق إلى الاسترجاع، مع الدعم الفوري لاستخراج النص من ملفات PDF و PPT وتنسيقات الوثائق الشائعة الأخرى.
**5. قدرات الوكيل**: يمكنك تعريف الوكلاء بناءً على أمر وظيفة LLM أو ReAct، وإضافة أدوات مدمجة أو مخصصة للوكيل. توفر Dify أكثر من 50 أداة مدمجة لوكلاء الذكاء الاصطناعي، مثل البحث في Google و DALL·E وStable Diffusion و WolframAlpha.
**6. الـ LLMOps**: راقب وتحلل سجلات التطبيق والأداء على مر الزمن. يمكنك تحسين الأوامر والبيانات والنماذج باستمرار استنادًا إلى البيانات الإنتاجية والتعليقات.
**7.الواجهة الخلفية (Backend) كخدمة**: تأتي جميع عروض Dify مع APIs مطابقة، حتى يمكنك دمج Dify بسهولة في منطق أعمالك الخاص.
## مقارنة الميزات
<table style="width: 100%;">
<tr>
<th align="center">الميزة</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">نهج البرمجة</td>
<td align="center">موجّه لـ تطبيق + واجهة برمجة تطبيق (API)</td>
<td align="center">برمجة Python</td>
<td align="center">موجه لتطبيق</td>
<td align="center">واجهة برمجة تطبيق (API)</td>
</tr>
<tr>
<td align="center">LLMs المدعومة</td>
<td align="center">تنوع غني</td>
<td align="center">تنوع غني</td>
<td align="center">تنوع غني</td>
<td align="center">فقط OpenAI</td>
</tr>
<tr>
<td align="center">محرك RAG</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">الوكيل</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">سير العمل</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">الملاحظة</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">ميزات الشركات (SSO / مراقبة الوصول)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">نشر محلي</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## استخدام Dify
- **سحابة </br>**
نحن نستضيف [خدمة Dify Cloud](https://dify.ai) لأي شخص لتجربتها بدون أي إعدادات. توفر كل قدرات النسخة التي تمت استضافتها ذاتيًا، وتتضمن 200 أمر GPT-4 مجانًا في خطة الصندوق الرملي.
- **استضافة ذاتية لنسخة المجتمع Dify</br>**
ابدأ سريعًا في تشغيل Dify في بيئتك باستخدام [دليل البدء السريع](#البدء السريع).
استخدم [توثيقنا](https://docs.dify.ai) للمزيد من المراجع والتعليمات الأعمق.
- **مشروع Dify للشركات / المؤسسات</br>**
نحن نوفر ميزات إضافية مركزة على الشركات. [جدول اجتماع معنا](https://cal.com/guchenhe/30min) أو [أرسل لنا بريدًا إلكترونيًا](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) لمناقشة احتياجات الشركات. </br>
> بالنسبة للشركات الناشئة والشركات الصغيرة التي تستخدم خدمات AWS، تحقق من [Dify Premium على AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) ونشرها في شبكتك الخاصة على AWS VPC بنقرة واحدة. إنها عرض AMI بأسعار معقولة مع خيار إنشاء تطبيقات بشعار وعلامة تجارية مخصصة.
## البقاء قدمًا
قم بإضافة نجمة إلى Dify على GitHub وتلق تنبيهًا فوريًا بالإصدارات الجديدة.
![نجمنا](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## البداية السريعة
> قبل تثبيت Dify، تأكد من أن جهازك يلبي الحد الأدنى من متطلبات النظام التالية:
>
>- معالج >= 2 نواة
>- ذاكرة وصول عشوائي (RAM) >= 4 جيجابايت
</br>
أسهل طريقة لبدء تشغيل خادم Dify هي تشغيل ملف [docker-compose.yml](docker/docker-compose.yaml) الخاص بنا. قبل تشغيل أمر التثبيت، تأكد من تثبيت [Docker](https://docs.docker.com/get-docker/) و [Docker Compose](https://docs.docker.com/compose/install/) على جهازك:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
بعد التشغيل، يمكنك الوصول إلى لوحة تحكم Dify في متصفحك على [http://localhost/install](http://localhost/install) وبدء عملية التهيئة.
> إذا كنت ترغب في المساهمة في Dify أو القيام بتطوير إضافي، فانظر إلى [دليلنا للنشر من الشفرة (code) المصدرية](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## الخطوات التالية
إذا كنت بحاجة إلى تخصيص الإعدادات، فيرجى الرجوع إلى التعليقات في ملف [.env.example](docker/.env.example) وتحديث القيم المقابلة في ملف `.env`. بالإضافة إلى ذلك، قد تحتاج إلى إجراء تعديلات على ملف `docker-compose.yaml` نفسه، مثل تغيير إصدارات الصور أو تعيينات المنافذ أو نقاط تحميل وحدات التخزين، بناءً على بيئة النشر ومتطلباتك الخاصة. بعد إجراء أي تغييرات، يرجى إعادة تشغيل `docker-compose up -d`. يمكنك العثور على قائمة كاملة بمتغيرات البيئة المتاحة [هنا](https://docs.dify.ai/getting-started/install-self-hosted/environments).
يوجد مجتمع خاص بـ [Helm Charts](https://helm.sh/) وملفات YAML التي تسمح بتنفيذ Dify على Kubernetes للنظام من الإيجابيات العلوية.
- [رسم بياني Helm من قبل @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [رسم بياني Helm من قبل @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [ملف YAML من قبل @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### استخدام Terraform للتوزيع
##### Azure Global
استخدم [terraform](https://www.terraform.io/) لنشر Dify على Azure بنقرة واحدة.
- [Azure Terraform بواسطة @nikawang](https://github.com/nikawang/dify-azure-terraform)
## المساهمة
لأولئك الذين يرغبون في المساهمة، انظر إلى [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) لدينا.
في الوقت نفسه، يرجى النظر في دعم Dify عن طريق مشاركته على وسائل التواصل الاجتماعي وفي الفعاليات والمؤتمرات.
> نحن نبحث عن مساهمين لمساعدة في ترجمة Dify إلى لغات أخرى غير اللغة الصينية المندرين أو الإنجليزية. إذا كنت مهتمًا بالمساعدة، يرجى الاطلاع على [README للترجمة](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) لمزيد من المعلومات، واترك لنا تعليقًا في قناة `global-users` على [خادم المجتمع على Discord](https://discord.gg/8Tpq4AcN9c).
**المساهمون**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## المجتمع والاتصال
* [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
* [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
* [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
## تاريخ النجمة
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## الكشف عن الأمان
لحماية خصوصيتك، يرجى تجنب نشر مشكلات الأمان على GitHub. بدلاً من ذلك، أرسل أسئلتك إلى security@dify.ai وسنقدم لك إجابة أكثر تفصيلاً.
## الرخصة
هذا المستودع متاح تحت [رخصة البرنامج الحر Dify](LICENSE)، والتي تعتبر بشكل أساسي Apache 2.0 مع بعض القيود الإضافية.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<div align="center">
<a href="https://cloud.dify.ai">Dify 云服务</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
<a href="https://docs.dify.ai">文档</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">(需用英文)常见问题解答 / 联系团队</a>
</div>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<div align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</div>
#
<div align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | 趋势转变" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI 工作流、RAG 管道、Agent、模型管理、可观测性功能等让您可以快速从原型到生产。以下是其核心功能列表
</br> </br>
**1. 工作流**:
在画布上构建和测试功能强大的 AI 工作流程,利用以下所有功能以及更多功能。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 全面的模型支持**:
与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成,涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
用于制作提示、比较模型性能以及向基于聊天的应用程序添加其他功能(如文本转语音)的直观界面。
**4. RAG Pipeline**:
广泛的 RAG 功能,涵盖从文档摄入到检索的所有内容,支持从 PDF、PPT 和其他常见文档格式中提取文本的开箱即用的支持。
**5. Agent 智能体**:
您可以基于 LLM 函数调用或 ReAct 定义 Agent并为 Agent 添加预构建或自定义工具。Dify 为 AI Agent 提供了50多种内置工具如谷歌搜索、DALL·E、Stable Diffusion 和 WolframAlpha 等。
**6. LLMOps**:
随时间监视和分析应用程序日志和性能。您可以根据生产数据和标注持续改进提示、数据集和模型。
**7. 后端即服务**:
所有 Dify 的功能都带有相应的 API因此您可以轻松地将 Dify 集成到自己的业务逻辑中。
## 功能比较
<table style="width: 100%;">
<tr>
<th align="center">功能</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistant API</th>
</tr>
<tr>
<td align="center">编程方法</td>
<td align="center">API + 应用程序导向</td>
<td align="center">Python 代码</td>
<td align="center">应用程序导向</td>
<td align="center">API 导向</td>
</tr>
<tr>
<td align="center">支持的 LLMs</td>
<td align="center">丰富多样</td>
<td align="center">丰富多样</td>
<td align="center">丰富多样</td>
<td align="center">仅限 OpenAI</td>
</tr>
<tr>
<td align="center">RAG引擎</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">工作流</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">可观测性</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">企业功能SSO/访问控制)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">本地部署</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## 使用 Dify
- **云 </br>**
我们提供[ Dify 云服务](https://dify.ai),任何人都可以零设置尝试。它提供了自部署版本的所有功能,并在沙盒计划中包含 200 次免费的 GPT-4 调用。
- **自托管 Dify 社区版</br>**
使用这个[入门指南](#quick-start)快速在您的环境中运行 Dify。
使用我们的[文档](https://docs.dify.ai)进行进一步的参考和更深入的说明。
- **面向企业/组织的 Dify</br>**
我们提供额外的面向企业的功能。[给我们发送电子邮件](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)讨论企业需求。 </br>
> 对于使用 AWS 的初创公司和中小型企业,请查看 [AWS Marketplace 上的 Dify 高级版](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6),并使用一键部署到您自己的 AWS VPC。它是一个价格实惠的 AMI 产品,提供了使用自定义徽标和品牌创建应用程序的选项。
## 保持领先
在 GitHub 上给 Dify Star并立即收到新版本的通知。
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## 安装社区版
### 系统要求
在安装 Dify 之前,请确保您的机器满足以下最低系统要求:
- CPU >= 2 Core
- RAM >= 4GB
### 快速启动
启动 Dify 服务器的最简单方法是运行我们的 [docker-compose.yml](docker/docker-compose.yaml) 文件。在运行安装命令之前,请确保您的机器上安装了 [Docker](https://docs.docker.com/get-docker/) 和 [Docker Compose](https://docs.docker.com/compose/install/)
```bash
cd docker
cp .env.example .env
docker compose up -d
```
运行后,可以在浏览器上访问 [http://localhost/install](http://localhost/install) 进入 Dify 控制台并开始初始化安装操作。
### 自定义配置
如果您需要自定义配置,请参考 [.env.example](docker/.env.example) 文件中的注释,并更新 `.env` 文件中对应的值。此外,您可能需要根据您的具体部署环境和需求对 `docker-compose.yaml` 文件本身进行调整,例如更改镜像版本、端口映射或卷挂载。完成任何更改后,请重新运行 `docker-compose up -d`。您可以在[此处](https://docs.dify.ai/getting-started/install-self-hosted/environments)找到可用环境变量的完整列表。
#### 使用 Helm Chart 部署
使用 [Helm Chart](https://helm.sh/) 版本或者 YAML 文件,可以在 Kubernetes 上部署 Dify。
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML 文件 by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### 使用 Terraform 部署
##### Azure Global
使用 [terraform](https://www.terraform.io/) 一键部署 Dify 到 Azure。
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Contributing
对于那些想要贡献代码的人,请参阅我们的[贡献指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
同时,请考虑通过社交媒体、活动和会议来支持 Dify 的分享。
> 我们正在寻找贡献者来帮助将Dify翻译成除了中文和英文之外的其他语言。如果您有兴趣帮助请参阅我们的[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)获取更多信息,并在我们的[Discord社区服务器](https://discord.gg/8Tpq4AcN9c)的`global-users`频道中留言。
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## 社区与支持
我们欢迎您为 Dify 做出贡献,以帮助改善 Dify。包括提交代码、问题、新想法或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时,我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉:分享您的应用程序并与社区交流。
- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉:使用 Dify.AI 时遇到的错误和问题,请参阅[贡献指南](CONTRIBUTING.md)。
- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉:关于使用 Dify.AI 的问题。
- [Discord](https://discord.gg/FngNHpbcY7)。👉:分享您的应用程序并与社区交流。
- [Twitter](https://twitter.com/dify_ai)。👉:分享您的应用程序并与社区交流。
- [商业许可](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)。👉:有关商业用途许可 Dify.AI 的商业咨询。
- [微信]() 👉:扫描下方二维码,添加微信好友,备注 Dify我们将邀请您加入 Dify 社区。
<img src="./images/wechat.png" alt="wechat" width="100"/>
## 安全问题
为了保护您的隐私,请避免在 GitHub 上发布安全问题。发送问题至 security@dify.ai我们将为您做更细致的解答。
## License
本仓库遵循 [Dify Open Source License](LICENSE) 开源协议,该许可证本质上是 Apache 2.0,但有一些额外的限制。

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
<a href="https://docs.dify.ai">Documentación</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Insignia Estática" src="https://img.shields.io/badge/Producto-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Insignia Estática" src="https://img.shields.io/badge/gratis-precios?logo=gratis&color=%20%23155EEF&label=precios&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat en Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="seguir en Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Descargas de Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Actividad de Commits el último mes" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues cerrados" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20cerrados&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Publicaciones de discusión" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto. Su interfaz intuitiva combina flujo de trabajo de IA, pipeline RAG, capacidades de agente, gestión de modelos, características de observabilidad y más, lo que le permite pasar rápidamente de un prototipo a producción. Aquí hay una lista de las características principales:
</br> </br>
**1. Flujo de trabajo**:
Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Soporte de modelos completo**:
Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).
![proveedores-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE de prompt**:
Interfaz intuitiva para crear prompts, comparar el rendimiento del modelo y agregar características adicionales como texto a voz a una aplicación basada en chat.
**4. Pipeline RAG**:
Amplias capacidades de RAG que cubren todo, desde la ingestión de documentos hasta la recuperación, con soporte listo para usar para la extracción de texto de PDF, PPT y otros formatos de documento comunes.
**5. Capacidades de agente**:
Puedes definir agent
es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruidas o personalizadas para el agente. Dify proporciona más de 50 herramientas integradas para agentes de IA, como Búsqueda de Google, DALL·E, Difusión Estable y WolframAlpha.
**6. LLMOps**:
Supervisa y analiza registros de aplicaciones y rendimiento a lo largo del tiempo. Podrías mejorar continuamente prompts, conjuntos de datos y modelos basados en datos de producción y anotaciones.
**7. Backend como servicio**:
Todas las ofertas de Dify vienen con APIs correspondientes, por lo que podrías integrar Dify sin esfuerzo en tu propia lógica empresarial.
## Comparación de características
<table style="width: 100%;">
<tr>
<th align="center">Característica</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">API de Asistentes de OpenAI</th>
</tr>
<tr>
<td align="center">Enfoque de programación</td>
<td align="center">API + orientado a la aplicación</td>
<td align="center">Código Python</td>
<td align="center">Orientado a la aplicación</td>
<td align="center">Orientado a la API</td>
</tr>
<tr>
<td align="center">LLMs admitidos</td>
<td align="center">Gran variedad</td>
<td align="center">Gran variedad</td>
<td align="center">Gran variedad</td>
<td align="center">Solo OpenAI</td>
</tr>
<tr>
<td align="center">Motor RAG</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agente</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Flujo de trabajo</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Observabilidad</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Característica empresarial (SSO/Control de acceso)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Implementación local</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Usando Dify
- **Nube </br>**
Hospedamos un servicio [Dify Cloud](https://dify.ai) para que cualquiera lo pruebe sin configuración. Proporciona todas las capacidades de la versión autoimplementada e incluye 200 llamadas gratuitas a GPT-4 en el plan sandbox.
- **Auto-alojamiento de Dify Community Edition</br>**
Pon rápidamente Dify en funcionamiento en tu entorno con esta [guía de inicio rápido](#quick-start).
Usa nuestra [documentación](https://docs.dify.ai) para más referencias e instrucciones más detalladas.
- **Dify para Empresas / Organizaciones</br>**
Proporcionamos características adicionales centradas en la empresa. [Envíanos un correo electrónico](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) para discutir las necesidades empresariales. </br>
> Para startups y pequeñas empresas que utilizan AWS, echa un vistazo a [Dify Premium en AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e impleméntalo en tu propio VPC de AWS con un clic. Es una AMI asequible que ofrece la opción de crear aplicaciones con logotipo y marca personalizados.
## Manteniéndote al tanto
Dale estrella a Dify en GitHub y serás notificado instantáneamente de las nuevas versiones.
![danos estrella](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Inicio Rápido
> Antes de instalar Dify, asegúrate de que tu máquina cumpla con los siguientes requisitos mínimos del sistema:
>
>- CPU >= 2 núcleos
>- RAM >= 4GB
</br>
La forma más fácil de iniciar el servidor de Dify es ejecutar nuestro archivo [docker-compose.yml](docker/docker-compose.yaml). Antes de ejecutar el comando de instalación, asegúrate de que [Docker](https://docs.docker.com/get-docker/) y [Docker Compose](https://docs.docker.com/compose/install/) estén instalados en tu máquina:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Después de ejecutarlo, puedes acceder al panel de control de Dify en tu navegador en [http://localhost/install](http://localhost/install) y comenzar el proceso de inicialización.
> Si deseas contribuir a Dify o realizar desarrollo adicional, consulta nuestra [guía para implementar desde el código fuente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Próximos pasos
Si necesita personalizar la configuración, consulte los comentarios en nuestro archivo [.env.example](docker/.env.example) y actualice los valores correspondientes en su archivo `.env`. Además, es posible que deba realizar ajustes en el propio archivo `docker-compose.yaml`, como cambiar las versiones de las imágenes, las asignaciones de puertos o los montajes de volúmenes, según su entorno de implementación y requisitos específicos. Después de realizar cualquier cambio, vuelva a ejecutar `docker-compose up -d`. Puede encontrar la lista completa de variables de entorno disponibles [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
. Después de realizar los cambios, ejecuta `docker-compose up -d` nuevamente. Puedes ver la lista completa de variables de entorno [aquí](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Si desea configurar una configuración de alta disponibilidad, la comunidad proporciona [Gráficos Helm](https://helm.sh/) y archivos YAML, a través de los cuales puede desplegar Dify en Kubernetes.
- [Gráfico Helm por @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Gráfico Helm por @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Ficheros YAML por @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Uso de Terraform para el despliegue
##### Azure Global
Utiliza [terraform](https://www.terraform.io/) para desplegar Dify en Azure con un solo clic.
- [Azure Terraform por @nikawang](https://github.com/nikawang/dify-azure-terraform)
## Contribuir
Para aquellos que deseen contribuir con código, consulten nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
Al mismo tiempo, considera apoyar a Dify compartiéndolo en redes sociales y en eventos y conferencias.
> Estamos buscando colaboradores para ayudar con la traducción de Dify a idiomas que no sean el mandarín o el inglés. Si estás interesado en ayudar, consulta el [README de i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) para obtener más información y déjanos un comentario en el canal `global-users` de nuestro [Servidor de Comunidad en Discord](https://discord.gg/8Tpq4AcN9c).
**Contribuidores**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Comunidad y Contacto
* [Discusión en GitHub](https://github.com/langgenius/dify/discussions). Lo mejor para: compartir comentarios y hacer preguntas.
* [Reporte de problemas en GitHub](https://github.com/langgenius/dify/issues). Lo mejor para: errores que encuentres usando Dify.AI y propuestas de características. Consulta nuestra [Guía de contribución](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
* [Twitter](https://twitter.com/dify_ai). Lo mejor para: compartir tus aplicaciones y pasar el rato con la comunidad.
## Historial de Estrellas
[![Gráfico de Historial de Estrellas](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Divulgación de Seguridad
Para proteger tu privacidad, evita publicar problemas de seguridad en GitHub. En su lugar, envía tus preguntas a security@dify.ai y te proporcionaremos una respuesta más detallada.
## Licencia
Este repositorio está disponible bajo la [Licencia de Código Abierto de Dify](LICENSE), que es esencialmente Apache 2.0 con algunas restricciones adicionales.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande dentreprise (en anglais seulement)</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Badge statique" src="https://img.shields.io/badge/Produit-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Badge statique" src="https://img.shields.io/badge/gratuit-Tarification?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat sur Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="suivre sur Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Tirages Docker" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits le mois dernier" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Problèmes fermés" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Messages de discussion" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
Dify est une plateforme de développement d'applications LLM open source. Son interface intuitive combine un flux de travail d'IA, un pipeline RAG, des capacités d'agent, une gestion de modèles, des fonctionnalités d'observabilité, et plus encore, vous permettant de passer rapidement du prototype à la production. Voici une liste des fonctionnalités principales:
</br> </br>
**1. Flux de travail**:
Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Prise en charge complète des modèles**:
Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE de prompt**:
Interface intuitive pour créer des prompts, comparer les performances des modèles et ajouter des fonctionnalités supplémentaires telles que la synthèse vocale à une application basée sur des chats.
**4. Pipeline RAG**:
Des capacités RAG étendues qui couvrent tout, de l'ingestion de documents à la récupération, avec un support prêt à l'emploi pour l'extraction de texte à partir de PDF, PPT et autres formats de document courants.
**5. Capac
ités d'agent**:
Vous pouvez définir des agents basés sur l'appel de fonction LLM ou ReAct, et ajouter des outils pré-construits ou personnalisés pour l'agent. Dify fournit plus de 50 outils intégrés pour les agents d'IA, tels que la recherche Google, DALL·E, Stable Diffusion et WolframAlpha.
**6. LLMOps**:
Surveillez et analysez les journaux d'application et les performances au fil du temps. Vous pouvez continuellement améliorer les prompts, les ensembles de données et les modèles en fonction des données de production et des annotations.
**7. Backend-as-a-Service**:
Toutes les offres de Dify sont accompagnées d'API correspondantes, vous permettant d'intégrer facilement Dify dans votre propre logique métier.
## Comparaison des fonctionnalités
<table style="width: 100%;">
<tr>
<th align="center">Fonctionnalité</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Approche de programmation</td>
<td align="center">API + Application</td>
<td align="center">Code Python</td>
<td align="center">Application</td>
<td align="center">API</td>
</tr>
<tr>
<td align="center">LLMs pris en charge</td>
<td align="center">Grande variété</td>
<td align="center">Grande variété</td>
<td align="center">Grande variété</td>
<td align="center">Uniquement OpenAI</td>
</tr>
<tr>
<td align="center">Moteur RAG</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Flux de travail</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Observabilité</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Fonctionnalité d'entreprise (SSO/Contrôle d'accès)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Déploiement local</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Utiliser Dify
- **Cloud </br>**
Nous hébergeons un service [Dify Cloud](https://dify.ai) pour que tout le monde puisse l'essayer sans aucune configuration. Il fournit toutes les capacités de la version auto-hébergée et comprend 200 appels GPT-4 gratuits dans le plan bac à sable.
- **Auto-hébergement Dify Community Edition</br>**
Lancez rapidement Dify dans votre environnement avec ce [guide de démarrage](#quick-start).
Utilisez notre [documentation](https://docs.dify.ai) pour plus de références et des instructions plus détaillées.
- **Dify pour les entreprises / organisations</br>**
Nous proposons des fonctionnalités supplémentaires adaptées aux entreprises. [Envoyez-nous un e-mail](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) pour discuter des besoins de l'entreprise. </br>
> Pour les startups et les petites entreprises utilisant AWS, consultez [Dify Premium sur AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) et déployez-le dans votre propre VPC AWS en un clic. C'est une offre AMI abordable avec la possibilité de créer des applications avec un logo et une marque personnalisés.
## Rester en avance
Mettez une étoile à Dify sur GitHub et soyez instantanément informé des nouvelles versions.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Démarrage rapide
> Avant d'installer Dify, assurez-vous que votre machine répond aux exigences système minimales suivantes:
>
>- CPU >= 2 cœurs
>- RAM >= 4 Go
</br>
La manière la plus simple de démarrer le serveur Dify est d'exécuter notre fichier [docker-compose.yml](docker/docker-compose.yaml). Avant d'exécuter la commande d'installation, assurez-vous que [Docker](https://docs.docker.com/get-docker/) et [Docker Compose](https://docs.docker.com/compose/install/) sont installés sur votre machine:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Après l'exécution, vous pouvez accéder au tableau de bord Dify dans votre navigateur à [http://localhost/install](http://localhost/install) et commencer le processus d'initialisation.
> Si vous souhaitez contribuer à Dify ou effectuer un développement supplémentaire, consultez notre [guide de déploiement à partir du code source](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Prochaines étapes
Si vous devez personnaliser la configuration, veuillez vous référer aux commentaires dans notre fichier [.env.example](docker/.env.example) et mettre à jour les valeurs correspondantes dans votre fichier `.env`. De plus, vous devrez peut-être apporter des modifications au fichier `docker-compose.yaml` lui-même, comme changer les versions d'image, les mappages de ports ou les montages de volumes, en fonction de votre environnement de déploiement et de vos exigences spécifiques. Après avoir effectué des modifications, veuillez réexécuter `docker-compose up -d`. Vous pouvez trouver la liste complète des variables d'environnement disponibles [ici](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Si vous souhaitez configurer une configuration haute disponibilité, la communauté fournit des [Helm Charts](https://helm.sh/) et des fichiers YAML, à travers lesquels vous pouvez déployer Dify sur Kubernetes.
- [Helm Chart par @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart par @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Fichier YAML par @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Utilisation de Terraform pour le déploiement
##### Azure Global
Utilisez [terraform](https://www.terraform.io/) pour déployer Dify sur Azure en un clic.
- [Azure Terraform par @nikawang](https://github.com/nikawang/dify-azure-terraform)
## Contribuer
Pour ceux qui souhaitent contribuer du code, consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
Dans le même temps, veuillez envisager de soutenir Dify en le partageant sur les réseaux sociaux et lors d'événements et de conférences.
> Nous recherchons des contributeurs pour aider à traduire Dify dans des langues autres que le mandarin ou l'anglais. Si vous êtes intéressé à aider, veuillez consulter le [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) pour plus d'informations, et laissez-nous un commentaire dans le canal `global-users` de notre [Serveur communautaire Discord](https://discord.gg/8Tpq4AcN9c).
**Contributeurs**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Communauté & Contact
* [Discussion GitHub](https://github.com/langgenius/dify/discussions). Meilleur pour: partager des commentaires et poser des questions.
* [Problèmes GitHub](https://github.com/langgenius/dify/issues). Meilleur pour: les bogues que vous rencontrez en utilisant Dify.AI et les propositions de fonctionnalités. Consultez notre [Guide de contribution](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Meilleur pour: partager vos applications et passer du temps avec la communauté.
* [Twitter](https://twitter.com/dify_ai). Meilleur pour: partager vos applications et passer du temps avec la communauté.
## Historique des étoiles
[![Graphique de l'historique des étoiles](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Divulgation de sécurité
Pour protéger votre vie privée, veuillez éviter de publier des problèmes de sécurité sur GitHub. Au lieu de cela, envoyez vos questions à security@dify.ai et nous vous fournirons une réponse plus détaillée.
## Licence
Ce référentiel est disponible sous la [Licence open source Dify](LICENSE), qui est essentiellement l'Apache 2.0 avec quelques restrictions supplémentaires.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
<a href="https://docs.dify.ai">ドキュメント</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ(英語のみ)</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="Discordでチャット"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="Twitterでフォロー"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="先月のコミット" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="クローズされた問題" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="ディスカッション投稿" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
DifyはオープンソースのLLMアプリケーション開発プラットフォームです。直感的なインターフェイスには、AIワークフロー、RAGパイプライン、エージェント機能、モデル管理、観測機能などが組み合わさっており、プロトタイプから生産まで迅速に進めることができます。以下の機能が含まれます
</br> </br>
**1. ワークフロー**:
強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 総合的なモデルサポート**:
数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. プロンプトIDE**:
プロンプトの作成、モデルパフォーマンスの比較が行え、チャットベースのアプリに音声合成などの機能も追加できます。
**4. RAGパイプライン**:
ドキュメントの取り込みから検索までをカバーする広範なRAG機能ができます。ほかにもPDF、PPT、その他の一般的なドキュメントフォーマットからのテキスト抽出のサーポイントも提供します。
**5. エージェント機能**:
LLM Function CallingやReActに基づくエージェントの定義が可能で、AIエージェント用のプリビルトまたはカスタムツールを追加できます。Difyには、Google検索、DALL·E、Stable Diffusion、WolframAlphaなどのAIエージェント用の50以上の組み込みツールが提供します。
**6. LLMOps**:
アプリケーションのログやパフォーマンスを監視と分析し、生産のデータと注釈に基づいて、プロンプト、データセット、モデルを継続的に改善できます。
**7. Backend-as-a-Service**:
すべての機能はAPIを提供されており、Difyを自分のビジネスロジックに簡単に統合できます。
## 機能比較
<table style="width: 100%;">
<tr>
<th align="center">機能</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">プログラミングアプローチ</td>
<td align="center">API + アプリ指向</td>
<td align="center">Pythonコード</td>
<td align="center">アプリ指向</td>
<td align="center">API指向</td>
</tr>
<tr>
<td align="center">サポートされているLLM</td>
<td align="center">バラエティ豊か</td>
<td align="center">バラエティ豊か</td>
<td align="center">バラエティ豊か</td>
<td align="center">OpenAIのみ</td>
</tr>
<tr>
<td align="center">RAGエンジン</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">エージェント</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">ワークフロー</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">観測性</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">エンタープライズ機能SSO/アクセス制御)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">ローカル展開</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Difyの使用方法
- **クラウド </br>**
[こちら](https://dify.ai)のDify Cloudサービスを利用して、セットアップ不要で試すことができます。サンドボックスプランには、200回のGPT-4呼び出しが無料で含まれています。
- **Dify Community Editionのセルフホスティング</br>**
この[スタートガイド](#quick-start)を使用して、ローカル環境でDifyを簡単に実行できます。
詳しくは[ドキュメント](https://docs.dify.ai)をご覧ください。
- **企業/組織向けのDify</br>**
企業中心の機能を提供しています。[メールを送信](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)して企業のニーズについて相談してください。 </br>
> AWSを使用しているスタートアップ企業や中小企業の場合は、[AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)のDify Premiumをチェックして、ワンクリックで自分のAWS VPCにデプロイできます。さらに、手頃な価格のAMIオファリングどして、ロゴやブランディングをカスタマイズしてアプリケーションを作成するオプションがあります。
## 最新の情報を入手
GitHub上でDifyにスターを付けることで、Difyに関する新しいニュースを受け取れます。
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## クイックスタート
> Difyをインストールする前に、お使いのマシンが以下の最小システム要件を満たしていることを確認してください
>
>- CPU >= 2コア
>- RAM >= 4GB
</br>
Difyサーバーを起動する最も簡単な方法は、[docker-compose.yml](docker/docker-compose.yaml)ファイルを実行することです。インストールコマンドを実行する前に、マシンに[Docker](https://docs.docker.com/get-docker/)と[Docker Compose](https://docs.docker.com/compose/install/)がインストールされていることを確認してください。
```bash
cd docker
cp .env.example .env
docker compose up -d
```
実行後、ブラウザで[http://localhost/install](http://localhost/install)にアクセスし、初期化プロセスを開始できます。
> Difyに貢献したり、追加の開発を行う場合は、[ソースコードからのデプロイガイド](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)を参照してください。
## 次のステップ
設定をカスタマイズする必要がある場合は、[.env.example](docker/.env.example) ファイルのコメントを参照し、`.env` ファイルの対応する値を更新してください。さらに、デプロイ環境や要件に応じて、`docker-compose.yaml` ファイル自体を調整する必要がある場合があります。たとえば、イメージのバージョン、ポートのマッピング、ボリュームのマウントなどを変更します。変更を加えた後は、`docker-compose up -d` を再実行してください。利用可能な環境変数の全一覧は、[こちら](https://docs.dify.ai/getting-started/install-self-hosted/environments)で確認できます。
高可用性設定を設定する必要がある場合、コミュニティは[Helm Charts](https://helm.sh/)とYAMLファイルにより、DifyをKubernetesにデプロイすることができます。
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Terraformを使用したデプロイ
##### Azure Global
[terraform](https://www.terraform.io/) を使用して、AzureにDifyをワンクリックでデプロイします。
- [nikawangのAzure Terraform](https://github.com/nikawang/dify-azure-terraform)
## 貢献
コードに貢献したい方は、[Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)を参照してください。
同時に、DifyをSNSやイベント、カンファレンスで共有してサポートしていただけると幸いです。
> Difyを英語または中国語以外の言語に翻訳してくれる貢献者を募集しています。興味がある場合は、詳細については[i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)を参照してください。また、[Discordコミュニティサーバー](https://discord.gg/8Tpq4AcN9c)の`global-users`チャンネルにコメントを残してください。
**貢献者**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## コミュニティ & お問い合わせ
* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
* [Twitter](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。
## ライセンス
このリポジトリは、Dify Open Source License にいくつかの追加制限を加えた[Difyオープンソースライセンス](LICENSE)の下で利用可能です。

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
#
<p align="center">
<a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</p>
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
</br> </br>
**1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
**4. RAG Pipeline**:
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
**5. Agent capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
**6. LLMOps**:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
**7. Backend-as-a-Service**:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
## Feature Comparison
<table style="width: 100%;">
<tr
>
<th align="center">Feature</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programming Approach</td>
<td align="center">API + App-oriented</td>
<td align="center">Python Code</td>
<td align="center">App-oriented</td>
<td align="center">API-oriented</td>
</tr>
<tr>
<td align="center">Supported LLMs</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">Rich Variety</td>
<td align="center">OpenAI-only</td>
</tr>
<tr>
<td align="center">RAG Engine</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Workflow</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Observability</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Enterprise Feature (SSO/Access control)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Local Deployment</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Using Dify
- **Cloud </br>**
We host a [Dify Cloud](https://dify.ai) service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan.
- **Self-hosting Dify Community Edition</br>**
Quickly get Dify running in your environment with this [starter guide](#quick-start).
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Dify for Enterprise / Organizations</br>**
We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Quick Start
> Before installing Dify, make sure your machine meets the following minimum system requirements:
>
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
The easiest way to start the Dify server is to run our [docker-compose.yml](docker/docker-compose.yaml) file. Before running the installation command, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.
> If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Next steps
If you need to customize the configuration, please refer to the comments in our [.env.example](docker/.env.example) file and update the corresponding values in your `.env` file. Additionally, you might need to make adjustments to the `docker-compose.yaml` file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run `docker-compose up -d`. You can find the full list of available environment variables [here](https://docs.dify.ai/getting-started/install-self-hosted/environments).
If you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Terraform atorlugu pilersitsineq
##### Azure Global
Atoruk [terraform](https://www.terraform.io/) Dify-mik Azure-mut ataatsikkut ikkussuilluarlugu.
- [Azure Terraform atorlugu @nikawang](https://github.com/nikawang/dify-azure-terraform)
## Contributing
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Community & Contact
* [Github Discussion](https://github.com/langgenius/dify/discussions
). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
* [Twitter](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Security Disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
## License
This repository is available under the [Dify Open Source License](LICENSE), which is essentially Apache 2.0 with a few additional restrictions.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
<a href="https://docs.dify.ai">문서</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on Twitter"></a>
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</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
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<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
**1. 워크플로우**:
다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 포괄적인 모델 지원:**:
수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. 통합 개발환경**:
프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
**4. RAG 파이프라인**:
문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
**5. 에이전트 기능**:
LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DALL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
**6. LLMOps**:
시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
**7. Backend-as-a-Service**:
Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
## 기능 비교
<table style="width: 100%;">
<tr>
<th align="center">기능</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">프로그래밍 접근 방식</td>
<td align="center">API + 앱 중심</td>
<td align="center">Python 코드</td>
<td align="center">앱 중심</td>
<td align="center">API 중심</td>
</tr>
<tr>
<td align="center">지원되는 LLMs</td>
<td align="center">다양한 종류</td>
<td align="center">다양한 종류</td>
<td align="center">다양한 종류</td>
<td align="center">OpenAI 전용</td>
</tr>
<tr>
<td align="center">RAG 엔진</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">에이전트</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">워크플로우</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">가시성</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">기업용 기능 (SSO/접근 제어)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">로컬 배포</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Dify 사용하기
- **클라우드 </br>**
우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
환경에서 Dify를 빠르게 실행하려면 이 [스타터 가이드를](#quick-start) 참조하세요.
추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
- **기업 / 조직을 위한 Dify</br>**
우리는 추가적인 기업 중심 기능을 제공합니다. 잡거나 [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
> AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
## 앞서가기
GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## 빠른 시작
>Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 :
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
```bash
cd docker
cp .env.example .env
docker compose up -d
```
실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
## 다음 단계
구성을 사용자 정의해야 하는 경우 [.env.example](docker/.env.example) 파일의 주석을 참조하고 `.env` 파일에서 해당 값을 업데이트하십시오. 또한 특정 배포 환경 및 요구 사항에 따라 `docker-compose.yaml` 파일 자체를 조정해야 할 수도 있습니다. 예를 들어 이미지 버전, 포트 매핑 또는 볼륨 마운트를 변경합니다. 변경 한 후 `docker-compose up -d`를 다시 실행하십시오. 사용 가능한 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 찾을 수 있습니다.
Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했다는 커뮤니티가 제공하는 [Helm Charts](https://helm.sh/)와 YAML 파일이 존재합니다.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Terraform을 사용한 배포
##### Azure Global
[terraform](https://www.terraform.io/)을 사용하여 Azure에 Dify를 원클릭으로 배포하세요.
- [nikawang의 Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
## 기여
코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요.
**기여자**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## 커뮤니티 & 연락처
* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
## Star 히스토리
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## 보안 공개
개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
## 라이선스
이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Bulut</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
<a href="https://docs.dify.ai">Dokümantasyon</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Statik Rozet" src="https://img.shields.io/badge/Ürün-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Statik Rozet" src="https://img.shields.io/badge/ücretsiz-fiyatlandırma?logo=free&color=%20%23155EEF&label=fiyatlandirma&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="Discord'da sohbet et"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="Twitter'da takip et"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Çekmeleri" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Geçen ay yapılan commitler" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Kapatılan sorunlar" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=kapatilan%20sorunlar&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Tartışma gönderileri" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel arayüzü, AI iş akışı, RAG pipeline'ı, ajan yetenekleri, model yönetimi, gözlemlenebilirlik özellikleri ve daha fazlasını birleştirerek, prototipten üretime hızlıca geçmenizi sağlar. İşte temel özelliklerin bir listesi:
</br> </br>
**1. Workflow**:
Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Kapsamlı model desteği**:
Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
Özür dilerim, haklısınız. Daha anlamlı ve akıcı bir çeviri yapmaya çalışayım. İşte güncellenmiş çeviri:
**3. Prompt IDE**:
Komut istemlerini oluşturmak, model performansını karşılaştırmak ve sohbet tabanlı uygulamalara metin-konuşma gibi ek özellikler eklemek için kullanıcı dostu bir arayüz.
**4. RAG Pipeline**:
Belge alımından bilgi çekmeye kadar geniş kapsamlı RAG yetenekleri. PDF'ler, PPT'ler ve diğer yaygın belge formatlarından metin çıkarma için hazır destek sunar.
**5. Ajan yetenekleri**:
LLM Fonksiyon Çağırma veya ReAct'a dayalı ajanlar tanımlayabilir ve bu ajanlara önceden hazırlanmış veya özel araçlar ekleyebilirsiniz. Dify, AI ajanları için Google Arama, DALL·E, Stable Diffusion ve WolframAlpha gibi 50'den fazla yerleşik araç sağlar.
**6. LLMOps**:
Uygulama loglarını ve performans metriklerini zaman içinde izleme ve analiz etme imkanı. Üretim ortamından elde edilen verilere ve kullanıcı geri bildirimlerine dayanarak, prompt'ları, veri setlerini ve modelleri sürekli olarak optimize edebilirsiniz. Bu sayede, AI uygulamanızın performansını ve doğruluğunu sürekli olarak artırabilirsiniz.
**7. Hizmet Olarak Backend**:
Dify'ın tüm özellikleri ilgili API'lerle birlikte gelir, böylece Dify'ı kendi iş mantığınıza kolayca entegre edebilirsiniz.
## Özellik karşılaştırması
<table style="width: 100%;">
<tr>
<th align="center">Özellik</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programlama Yaklaşımı</td>
<td align="center">API + Uygulama odaklı</td>
<td align="center">Python Kodu</td>
<td align="center">Uygulama odaklı</td>
<td align="center">API odaklı</td>
</tr>
<tr>
<td align="center">Desteklenen LLM'ler</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Zengin Çeşitlilik</td>
<td align="center">Yalnızca OpenAI</td>
</tr>
<tr>
<td align="center">RAG Motoru</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Ajan</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">İş Akışı</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Gözlemlenebilirlik</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Kurumsal Özellikler (SSO/Erişim kontrolü)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Yerel Dağıtım</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Dify'ı Kullanma
- **Cloud </br>**
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
-
Herkesin sıfır kurulumla denemesi için bir [Dify Cloud](https://dify.ai) hizmeti sunuyoruz. Bu hizmet, kendi kendine dağıtılan versiyonun tüm yeteneklerini sağlar ve sandbox planında 200 ücretsiz GPT-4 çağrısı içerir.
- **Dify Topluluk Sürümünü Kendi Sunucunuzda Barındırma</br>**
Bu [başlangıç kılavuzu](#quick-start) ile Dify'ı kendi ortamınızda hızlıca çalıştırın.
Daha fazla referans ve detaylı talimatlar için [dokümantasyonumuzu](https://docs.dify.ai) kullanın.
- **Kurumlar / organizasyonlar için Dify</br>**
Ek kurumsal odaklı özellikler sunuyoruz. Kurumsal ihtiyaçları görüşmek için [bize bir e-posta gönderin](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry). </br>
> AWS kullanan startuplar ve küçük işletmeler için, [AWS Marketplace'deki Dify Premium'a](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) göz atın ve tek tıklamayla kendi AWS VPC'nize dağıtın. Bu, özel logo ve marka ile uygulamalar oluşturma seçeneğine sahip uygun fiyatlı bir AMI teklifdir.
## Güncel Kalma
GitHub'da Dify'a yıldız verin ve yeni sürümlerden anında haberdar olun.
![bizi-yıldızlayın](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Hızlı başlangıç
> Dify'ı kurmadan önce, makinenizin aşağıdaki minimum sistem gereksinimlerini karşıladığından emin olun:
>
>- CPU >= 2 Çekirdek
>- RAM >= 4GB
</br>
İşte verdiğiniz metnin Türkçe çevirisi, kod bloğu içinde:
Dify sunucusunu başlatmanın en kolay yolu, [docker-compose.yml](docker/docker-compose.yaml) dosyamızı çalıştırmaktır. Kurulum komutunu çalıştırmadan önce, makinenizde [Docker](https://docs.docker.com/get-docker/) ve [Docker Compose](https://docs.docker.com/compose/install/)'un kurulu olduğundan emin olun:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Çalıştırdıktan sonra, tarayıcınızda [http://localhost/install](http://localhost/install) adresinden Dify kontrol paneline erişebilir ve başlangıç ayarları sürecini başlatabilirsiniz.
> Eğer Dify'a katkıda bulunmak veya ek geliştirmeler yapmak isterseniz, [kaynak koddan dağıtım kılavuzumuza](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) başvurun.
## Sonraki adımlar
Yapılandırmayı özelleştirmeniz gerekiyorsa, lütfen [.env.example](docker/.env.example) dosyamızdaki yorumlara bakın ve `.env` dosyanızdaki ilgili değerleri güncelleyin. Ayrıca, spesifik dağıtım ortamınıza ve gereksinimlerinize bağlı olarak `docker-compose.yaml` dosyasının kendisinde de, imaj sürümlerini, port eşlemelerini veya hacim bağlantılarını değiştirmek gibi ayarlamalar yapmanız gerekebilir. Herhangi bir değişiklik yaptıktan sonra, lütfen `docker-compose up -d` komutunu tekrar çalıştırın. Kullanılabilir tüm ortam değişkenlerinin tam listesini [burada](https://docs.dify.ai/getting-started/install-self-hosted/environments) bulabilirsiniz.
Yüksek kullanılabilirliğe sahip bir kurulum yapılandırmak isterseniz, Dify'ın Kubernetes üzerine dağıtılmasına olanak tanıyan topluluk katkılı [Helm Charts](https://helm.sh/) ve YAML dosyaları mevcuttur.
- [@LeoQuote tarafından Helm Chart](https://github.com/douban/charts/tree/master/charts/dify)
- [@BorisPolonsky tarafından Helm Chart](https://github.com/BorisPolonsky/dify-helm)
- [@Winson-030 tarafından YAML dosyası](https://github.com/Winson-030/dify-kubernetes)
#### Dağıtım için Terraform Kullanımı
##### Azure Global
[Terraform](https://www.terraform.io/) kullanarak Dify'ı Azure'a tek tıklamayla dağıtın.
- [@nikawang tarafından Azure Terraform](https://github.com/nikawang/dify-azure-terraform)
## Katkıda Bulunma
Kod katkısında bulunmak isteyenler için [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakabilirsiniz.
Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda paylaşarak desteklemeyi düşünün.
> Dify'ı Mandarin veya İngilizce dışındaki dillere çevirmemize yardımcı olacak katkıda bulunanlara ihtiyacımız var. Yardımcı olmakla ilgileniyorsanız, lütfen daha fazla bilgi için [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) dosyasına bakın ve [Discord Topluluk Sunucumuzdaki](https://discord.gg/8Tpq4AcN9c) `global-users` kanalında bize bir yorum bırakın.
**Katkıda Bulunanlar**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Topluluk & iletişim
* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
* [Twitter](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Güvenlik açıklaması
Gizliliğinizi korumak için, lütfen güvenlik sorunlarını GitHub'da paylaşmaktan kaçının. Bunun yerine, sorularınızı security@dify.ai adresine gönderin ve size daha detaylı bir cevap vereceğiz.
## Lisans
Bu depo, temel olarak Apache 2.0 lisansı ve birkaç ek kısıtlama içeren [Dify Açık Kaynak Lisansı](LICENSE) altında kullanıma sunulmuştur.

234
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@@ -0,0 +1,234 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
<a href="https://docs.dify.ai">Tài liệu</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat trên Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="theo dõi trên Twitter"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits tháng trước" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Vấn đề đã đóng" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Bài thảo luận" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
</p>
Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Giao diện trực quan kết hợp quy trình làm việc AI, mô hình RAG, khả năng tác nhân, quản lý mô hình, tính năng quan sát và hơn thế nữa, cho phép bạn nhanh chóng chuyển từ nguyên mẫu sang sản phẩm. Đây là danh sách các tính năng cốt lõi:
</br> </br>
**1. Quy trình làm việc**:
Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Hỗ trợ mô hình toàn diện**:
Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. IDE Prompt**:
Giao diện trực quan để tạo prompt, so sánh hiệu suất mô hình và thêm các tính năng bổ sung như chuyển văn bản thành giọng nói cho một ứng dụng dựa trên trò chuyện.
**4. Mô hình RAG**:
Khả năng RAG mở rộng bao gồm mọi thứ từ nhập tài liệu đến truy xuất, với hỗ trợ sẵn có cho việc trích xuất văn bản từ PDF, PPT và các định dạng tài liệu phổ biến khác.
**5. Khả năng tác nhân**:
Bạn có thể định nghĩa các tác nhân dựa trên LLM Function Calling hoặc ReAct, và thêm các công cụ được xây dựng sẵn hoặc tùy chỉnh cho tác nhân. Dify cung cấp hơn 50 công cụ tích hợp sẵn cho các tác nhân AI, như Google Search, DALL·E, Stable Diffusion và WolframAlpha.
**6. LLMOps**:
Giám sát và phân tích nhật ký và hiệu suất ứng dụng theo thời gian. Bạn có thể liên tục cải thiện prompt, bộ dữ liệu và mô hình dựa trên dữ liệu sản xuất và chú thích.
**7. Backend-as-a-Service**:
Tất cả các dịch vụ của Dify đều đi kèm với các API tương ứng, vì vậy bạn có thể dễ dàng tích hợp Dify vào logic kinh doanh của riêng mình.
## So sánh tính năng
<table style="width: 100%;">
<tr>
<th align="center">Tính năng</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Phương pháp lập trình</td>
<td align="center">Hướng API + Ứng dụng</td>
<td align="center">Mã Python</td>
<td align="center">Hướng ứng dụng</td>
<td align="center">Hướng API</td>
</tr>
<tr>
<td align="center">LLMs được hỗ trợ</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Đa dạng phong phú</td>
<td align="center">Chỉ OpenAI</td>
</tr>
<tr>
<td align="center">RAG Engine</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
</tr>
<tr>
<td align="center">Quy trình làm việc</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Khả năng quan sát</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Tính năng doanh nghiệp (SSO/Kiểm soát truy cập)</td>
<td align="center">✅</td>
<td align="center">❌</td>
<td align="center">❌</td>
<td align="center">❌</td>
</tr>
<tr>
<td align="center">Triển khai cục bộ</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">✅</td>
<td align="center">❌</td>
</tr>
</table>
## Sử dụng Dify
- **Cloud </br>**
Chúng tôi lưu trữ dịch vụ [Dify Cloud](https://dify.ai) cho bất kỳ ai muốn thử mà không cần cài đặt. Nó cung cấp tất cả các khả năng của phiên bản tự triển khai và bao gồm 200 lượt gọi GPT-4 miễn phí trong gói sandbox.
- **Tự triển khai Dify Community Edition</br>**
Nhanh chóng chạy Dify trong môi trường của bạn với [hướng dẫn bắt đầu](#quick-start) này.
Sử dụng [tài liệu](https://docs.dify.ai) của chúng tôi để tham khảo thêm và nhận hướng dẫn chi tiết hơn.
- **Dify cho doanh nghiệp / tổ chức</br>**
Chúng tôi cung cấp các tính năng bổ sung tập trung vào doanh nghiệp. [Ghi lại câu hỏi của bạn cho chúng tôi thông qua chatbot này](https://udify.app/chat/22L1zSxg6yW1cWQg) hoặc [gửi email cho chúng tôi](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) để thảo luận về nhu cầu doanh nghiệp. </br>
> Đối với các công ty khởi nghiệp và doanh nghiệp nhỏ sử dụng AWS, hãy xem [Dify Premium trên AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) và triển khai nó vào AWS VPC của riêng bạn chỉ với một cú nhấp chuột. Đây là một AMI giá cả phải chăng với tùy chọn tạo ứng dụng với logo và thương hiệu tùy chỉnh.
## Luôn cập nhật
Yêu thích Dify trên GitHub và được thông báo ngay lập tức về các bản phát hành mới.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Bắt đầu nhanh
> Trước khi cài đặt Dify, hãy đảm bảo máy của bạn đáp ứng các yêu cầu hệ thống tối thiểu sau:
>
>- CPU >= 2 Core
>- RAM >= 4GB
</br>
Cách dễ nhất để khởi động máy chủ Dify là chạy tệp [docker-compose.yml](docker/docker-compose.yaml) của chúng tôi. Trước khi chạy lệnh cài đặt, hãy đảm bảo rằng [Docker](https://docs.docker.com/get-docker/) và [Docker Compose](https://docs.docker.com/compose/install/) đã được cài đặt trên máy của bạn:
```bash
cd docker
cp .env.example .env
docker compose up -d
```
Sau khi chạy, bạn có thể truy cập bảng điều khiển Dify trong trình duyệt của bạn tại [http://localhost/install](http://localhost/install) và bắt đầu quá trình khởi tạo.
> Nếu bạn muốn đóng góp cho Dify hoặc phát triển thêm, hãy tham khảo [hướng dẫn triển khai từ mã nguồn](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) của chúng tôi
## Các bước tiếp theo
Nếu bạn cần tùy chỉnh cấu hình, vui lòng tham khảo các nhận xét trong tệp [.env.example](docker/.env.example) của chúng tôi và cập nhật các giá trị tương ứng trong tệp `.env` của bạn. Ngoài ra, bạn có thể cần điều chỉnh tệp `docker-compose.yaml`, chẳng hạn như thay đổi phiên bản hình ảnh, ánh xạ cổng hoặc gắn kết khối lượng, dựa trên môi trường triển khai cụ thể và yêu cầu của bạn. Sau khi thực hiện bất kỳ thay đổi nào, vui lòng chạy lại `docker-compose up -d`. Bạn có thể tìm thấy danh sách đầy đủ các biến môi trường có sẵn [tại đây](https://docs.dify.ai/getting-started/install-self-hosted/environments).
Nếu bạn muốn cấu hình một cài đặt có độ sẵn sàng cao, có các [Helm Charts](https://helm.sh/) và tệp YAML do cộng đồng đóng góp cho phép Dify được triển khai trên Kubernetes.
- [Helm Chart bởi @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart bởi @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [Tệp YAML bởi @Winson-030](https://github.com/Winson-030/dify-kubernetes)
#### Sử dụng Terraform để Triển khai
##### Azure Global
Triển khai Dify lên Azure chỉ với một cú nhấp chuột bằng cách sử dụng [terraform](https://www.terraform.io/).
- [Azure Terraform bởi @nikawang](https://github.com/nikawang/dify-azure-terraform)
## Đóng góp
Đối với những người muốn đóng góp mã, xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
Đồng thời, vui lòng xem xét hỗ trợ Dify bằng cách chia sẻ nó trên mạng xã hội và tại các sự kiện và hội nghị.
> Chúng tôi đang tìm kiếm người đóng góp để giúp dịch Dify sang các ngôn ngữ khác ngoài tiếng Trung hoặc tiếng Anh. Nếu bạn quan tâm đến việc giúp đỡ, vui lòng xem [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) để biết thêm thông tin và để lại bình luận cho chúng tôi trong kênh `global-users` của [Máy chủ Cộng đồng Discord](https://discord.gg/8Tpq4AcN9c) của chúng tôi.
**Người đóng góp**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Cộng đồng & liên hệ
* [Thảo luận GitHub](https://github.com/langgenius/dify/discussions). Tốt nhất cho: chia sẻ phản hồi và đặt câu hỏi.
* [Vấn đề GitHub](https://github.com/langgenius/dify/issues). Tốt nhất cho: lỗi bạn gặp phải khi sử dụng Dify.AI và đề xuất tính năng. Xem [Hướng dẫn Đóng góp](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) của chúng tôi.
* [Discord](https://discord.gg/FngNHpbcY7). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
* [Twitter](https://twitter.com/dify_ai). Tốt nhất cho: chia sẻ ứng dụng của bạn và giao lưu với cộng đồng.
## Lịch sử Yêu thích
[![Biểu đồ Lịch sử Yêu thích](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Tiết lộ bảo mật
Để bảo vệ quyền riêng tư của bạn, vui lòng tránh đăng các vấn đề bảo mật trên GitHub. Thay vào đó, hãy gửi câu hỏi của bạn đến security@dify.ai và chúng tôi sẽ cung cấp cho bạn câu trả lời chi tiết hơn.
## Giấy phép
Kho lưu trữ này có sẵn theo [Giấy phép Mã nguồn Mở Dify](LICENSE), về cơ bản là Apache 2.0 với một vài hạn chế bổ sung.

View File

@@ -1,10 +1,7 @@
.env
*.env.*
storage/generate_files/*
storage/privkeys/*
storage/tools/*
storage/upload_files/*
# Logs
logs
@@ -12,8 +9,6 @@ logs
# jetbrains
.idea
.mypy_cache
.ruff_cache
# venv
.venv
.venv

View File

@@ -4,109 +4,55 @@
# Alternatively you can set it with `SECRET_KEY` environment variable.
SECRET_KEY=
# Ensure UTF-8 encoding
LANG=en_US.UTF-8
LC_ALL=en_US.UTF-8
PYTHONIOENCODING=utf-8
# Console API base URL
CONSOLE_API_URL=http://localhost:5001
CONSOLE_WEB_URL=http://localhost:3000
CONSOLE_API_URL=http://127.0.0.1:5001
CONSOLE_WEB_URL=http://127.0.0.1:3000
# Service API base URL
SERVICE_API_URL=http://localhost:5001
SERVICE_API_URL=http://127.0.0.1:5001
# Web APP base URL
APP_WEB_URL=http://localhost:3000
APP_WEB_URL=http://127.0.0.1:3000
# Files URL
FILES_URL=http://localhost:5001
# INTERNAL_FILES_URL is used for plugin daemon communication within Docker network.
# Set this to the internal Docker service URL for proper plugin file access.
# Example: INTERNAL_FILES_URL=http://api:5001
INTERNAL_FILES_URL=http://127.0.0.1:5001
# TRIGGER URL
TRIGGER_URL=http://localhost:5001
FILES_URL=http://127.0.0.1:5001
# The time in seconds after the signature is rejected
FILES_ACCESS_TIMEOUT=300
# Access token expiration time in minutes
ACCESS_TOKEN_EXPIRE_MINUTES=60
# Refresh token expiration time in days
REFRESH_TOKEN_EXPIRE_DAYS=30
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:6379/1
# redis configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_USERNAME=
REDIS_PASSWORD=difyai123456
REDIS_USE_SSL=false
# SSL configuration for Redis (when REDIS_USE_SSL=true)
REDIS_SSL_CERT_REQS=CERT_NONE
# Options: CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED
REDIS_SSL_CA_CERTS=
# Path to CA certificate file for SSL verification
REDIS_SSL_CERTFILE=
# Path to client certificate file for SSL authentication
REDIS_SSL_KEYFILE=
# Path to client private key file for SSL authentication
REDIS_DB=0
# redis Sentinel configuration.
REDIS_USE_SENTINEL=false
REDIS_SENTINELS=
REDIS_SENTINEL_SERVICE_NAME=
REDIS_SENTINEL_USERNAME=
REDIS_SENTINEL_PASSWORD=
REDIS_SENTINEL_SOCKET_TIMEOUT=0.1
# redis Cluster configuration.
REDIS_USE_CLUSTERS=false
REDIS_CLUSTERS=
REDIS_CLUSTERS_PASSWORD=
# celery configuration
CELERY_BROKER_URL=redis://:difyai123456@localhost:${REDIS_PORT}/1
CELERY_BACKEND=redis
# Database configuration
DB_TYPE=postgresql
# PostgreSQL database configuration
DB_USERNAME=postgres
DB_PASSWORD=difyai123456
DB_HOST=localhost
DB_PORT=5432
DB_DATABASE=dify
SQLALCHEMY_POOL_PRE_PING=true
SQLALCHEMY_POOL_TIMEOUT=30
# Storage configuration
# use for store upload files, private keys...
# storage type: opendal, s3, aliyun-oss, azure-blob, baidu-obs, google-storage, huawei-obs, oci-storage, tencent-cos, volcengine-tos, supabase
STORAGE_TYPE=opendal
# Apache OpenDAL storage configuration, refer to https://github.com/apache/opendal
OPENDAL_SCHEME=fs
OPENDAL_FS_ROOT=storage
# S3 Storage configuration
# storage type: local, s3, azure-blob, google-storage
STORAGE_TYPE=local
STORAGE_LOCAL_PATH=storage
S3_USE_AWS_MANAGED_IAM=false
S3_ENDPOINT=https://your-bucket-name.storage.s3.cloudflare.com
S3_ENDPOINT=https://your-bucket-name.storage.s3.clooudflare.com
S3_BUCKET_NAME=your-bucket-name
S3_ACCESS_KEY=your-access-key
S3_SECRET_KEY=your-secret-key
S3_REGION=your-region
# Azure Blob Storage configuration
AZURE_BLOB_ACCOUNT_NAME=your-account-name
AZURE_BLOB_ACCOUNT_KEY=your-account-key
AZURE_BLOB_CONTAINER_NAME=your-container-name
AZURE_BLOB_CONTAINER_NAME=yout-container-name
AZURE_BLOB_ACCOUNT_URL=https://<your_account_name>.blob.core.windows.net
# Aliyun oss Storage configuration
ALIYUN_OSS_BUCKET_NAME=your-bucket-name
ALIYUN_OSS_ACCESS_KEY=your-access-key
@@ -116,9 +62,8 @@ ALIYUN_OSS_AUTH_VERSION=v1
ALIYUN_OSS_REGION=your-region
# Don't start with '/'. OSS doesn't support leading slash in object names.
ALIYUN_OSS_PATH=your-path
# Google Storage configuration
GOOGLE_STORAGE_BUCKET_NAME=your-bucket-name
GOOGLE_STORAGE_BUCKET_NAME=yout-bucket-name
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64=your-google-service-account-json-base64-string
# Tencent COS Storage configuration
@@ -128,18 +73,6 @@ TENCENT_COS_SECRET_ID=your-secret-id
TENCENT_COS_REGION=your-region
TENCENT_COS_SCHEME=your-scheme
# Huawei OBS Storage Configuration
HUAWEI_OBS_BUCKET_NAME=your-bucket-name
HUAWEI_OBS_SECRET_KEY=your-secret-key
HUAWEI_OBS_ACCESS_KEY=your-access-key
HUAWEI_OBS_SERVER=your-server-url
# Baidu OBS Storage Configuration
BAIDU_OBS_BUCKET_NAME=your-bucket-name
BAIDU_OBS_SECRET_KEY=your-secret-key
BAIDU_OBS_ACCESS_KEY=your-access-key
BAIDU_OBS_ENDPOINT=your-server-url
# OCI Storage configuration
OCI_ENDPOINT=your-endpoint
OCI_BUCKET_NAME=your-bucket-name
@@ -147,47 +80,18 @@ OCI_ACCESS_KEY=your-access-key
OCI_SECRET_KEY=your-secret-key
OCI_REGION=your-region
# Volcengine tos Storage configuration
VOLCENGINE_TOS_ENDPOINT=your-endpoint
VOLCENGINE_TOS_BUCKET_NAME=your-bucket-name
VOLCENGINE_TOS_ACCESS_KEY=your-access-key
VOLCENGINE_TOS_SECRET_KEY=your-secret-key
VOLCENGINE_TOS_REGION=your-region
# Supabase Storage Configuration
SUPABASE_BUCKET_NAME=your-bucket-name
SUPABASE_API_KEY=your-access-key
SUPABASE_URL=your-server-url
# CORS configuration
WEB_API_CORS_ALLOW_ORIGINS=http://localhost:3000,*
CONSOLE_CORS_ALLOW_ORIGINS=http://localhost:3000,*
# When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the sites top-level domain (e.g., `example.com`). Leading dots are optional.
COOKIE_DOMAIN=
WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
# Vector database configuration
# Supported values are `weaviate`, `oceanbase`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `oracle`, `tencent`, `elasticsearch`, `elasticsearch-ja`, `analyticdb`, `couchbase`, `vikingdb`, `opengauss`, `tablestore`,`vastbase`,`tidb`,`tidb_on_qdrant`,`baidu`,`lindorm`,`huawei_cloud`,`upstash`, `matrixone`.
# Vector database configuration, support: weaviate, qdrant, milvus, myscale, relyt, pgvecto_rs, pgvector, pgvector, chroma, opensearch, tidb_vector
VECTOR_STORE=weaviate
# Prefix used to create collection name in vector database
VECTOR_INDEX_NAME_PREFIX=Vector_index
# Weaviate configuration
WEAVIATE_ENDPOINT=http://localhost:8080
WEAVIATE_API_KEY=WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
WEAVIATE_GRPC_ENABLED=false
WEAVIATE_BATCH_SIZE=100
WEAVIATE_TOKENIZATION=word
# OceanBase Vector configuration
OCEANBASE_VECTOR_HOST=127.0.0.1
OCEANBASE_VECTOR_PORT=2881
OCEANBASE_VECTOR_USER=root@test
OCEANBASE_VECTOR_PASSWORD=difyai123456
OCEANBASE_VECTOR_DATABASE=test
OCEANBASE_MEMORY_LIMIT=6G
OCEANBASE_ENABLE_HYBRID_SEARCH=false
OCEANBASE_FULLTEXT_PARSER=ik
SEEKDB_MEMORY_LIMIT=2G
# Qdrant configuration, use `http://localhost:6333` for local mode or `https://your-qdrant-cluster-url.qdrant.io` for remote mode
QDRANT_URL=http://localhost:6333
@@ -195,21 +99,13 @@ QDRANT_API_KEY=difyai123456
QDRANT_CLIENT_TIMEOUT=20
QDRANT_GRPC_ENABLED=false
QDRANT_GRPC_PORT=6334
QDRANT_REPLICATION_FACTOR=1
#Couchbase configuration
COUCHBASE_CONNECTION_STRING=127.0.0.1
COUCHBASE_USER=Administrator
COUCHBASE_PASSWORD=password
COUCHBASE_BUCKET_NAME=Embeddings
COUCHBASE_SCOPE_NAME=_default
# Milvus configuration
MILVUS_URI=http://127.0.0.1:19530
MILVUS_TOKEN=
MILVUS_HOST=127.0.0.1
MILVUS_PORT=19530
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_ANALYZER_PARAMS=
MILVUS_SECURE=false
# MyScale configuration
MYSCALE_HOST=127.0.0.1
@@ -234,7 +130,6 @@ TENCENT_VECTOR_DB_USERNAME=dify
TENCENT_VECTOR_DB_DATABASE=dify
TENCENT_VECTOR_DB_SHARD=1
TENCENT_VECTOR_DB_REPLICAS=2
TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH=false
# ElasticSearch configuration
ELASTICSEARCH_HOST=127.0.0.1
@@ -255,15 +150,6 @@ PGVECTOR_PORT=5433
PGVECTOR_USER=postgres
PGVECTOR_PASSWORD=postgres
PGVECTOR_DATABASE=postgres
PGVECTOR_MIN_CONNECTION=1
PGVECTOR_MAX_CONNECTION=5
# TableStore Vector configuration
TABLESTORE_ENDPOINT=https://instance-name.cn-hangzhou.ots.aliyuncs.com
TABLESTORE_INSTANCE_NAME=instance-name
TABLESTORE_ACCESS_KEY_ID=xxx
TABLESTORE_ACCESS_KEY_SECRET=xxx
TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE=false
# Tidb Vector configuration
TIDB_VECTOR_HOST=xxx.eu-central-1.xxx.aws.tidbcloud.com
@@ -272,20 +158,6 @@ TIDB_VECTOR_USER=xxx.root
TIDB_VECTOR_PASSWORD=xxxxxx
TIDB_VECTOR_DATABASE=dify
# Tidb on qdrant configuration
TIDB_ON_QDRANT_URL=http://127.0.0.1
TIDB_ON_QDRANT_API_KEY=dify
TIDB_ON_QDRANT_CLIENT_TIMEOUT=20
TIDB_ON_QDRANT_GRPC_ENABLED=false
TIDB_ON_QDRANT_GRPC_PORT=6334
TIDB_PUBLIC_KEY=dify
TIDB_PRIVATE_KEY=dify
TIDB_API_URL=http://127.0.0.1
TIDB_IAM_API_URL=http://127.0.0.1
TIDB_REGION=regions/aws-us-east-1
TIDB_PROJECT_ID=dify
TIDB_SPEND_LIMIT=100
# Chroma configuration
CHROMA_HOST=127.0.0.1
CHROMA_PORT=8000
@@ -303,10 +175,6 @@ ANALYTICDB_ACCOUNT=testaccount
ANALYTICDB_PASSWORD=testpassword
ANALYTICDB_NAMESPACE=dify
ANALYTICDB_NAMESPACE_PASSWORD=difypassword
ANALYTICDB_HOST=gp-test.aliyuncs.com
ANALYTICDB_PORT=5432
ANALYTICDB_MIN_CONNECTION=1
ANALYTICDB_MAX_CONNECTION=5
# OpenSearch configuration
OPENSEARCH_HOST=127.0.0.1
@@ -314,88 +182,19 @@ OPENSEARCH_PORT=9200
OPENSEARCH_USER=admin
OPENSEARCH_PASSWORD=admin
OPENSEARCH_SECURE=true
OPENSEARCH_VERIFY_CERTS=true
# Baidu configuration
BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS=30000
BAIDU_VECTOR_DB_ACCOUNT=root
BAIDU_VECTOR_DB_API_KEY=dify
BAIDU_VECTOR_DB_DATABASE=dify
BAIDU_VECTOR_DB_SHARD=1
BAIDU_VECTOR_DB_REPLICAS=3
BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
# Upstash configuration
UPSTASH_VECTOR_URL=your-server-url
UPSTASH_VECTOR_TOKEN=your-access-token
# ViKingDB configuration
VIKINGDB_ACCESS_KEY=your-ak
VIKINGDB_SECRET_KEY=your-sk
VIKINGDB_REGION=cn-shanghai
VIKINGDB_HOST=api-vikingdb.xxx.volces.com
VIKINGDB_SCHEMA=http
VIKINGDB_CONNECTION_TIMEOUT=30
VIKINGDB_SOCKET_TIMEOUT=30
# Matrixone configration
MATRIXONE_HOST=127.0.0.1
MATRIXONE_PORT=6001
MATRIXONE_USER=dump
MATRIXONE_PASSWORD=111
MATRIXONE_DATABASE=dify
# Lindorm configuration
LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:30070
LINDORM_USERNAME=admin
LINDORM_PASSWORD=admin
LINDORM_USING_UGC=True
LINDORM_QUERY_TIMEOUT=1
# AlibabaCloud MySQL Vector configuration
ALIBABACLOUD_MYSQL_HOST=127.0.0.1
ALIBABACLOUD_MYSQL_PORT=3306
ALIBABACLOUD_MYSQL_USER=root
ALIBABACLOUD_MYSQL_PASSWORD=root
ALIBABACLOUD_MYSQL_DATABASE=dify
ALIBABACLOUD_MYSQL_MAX_CONNECTION=5
ALIBABACLOUD_MYSQL_HNSW_M=6
# openGauss configuration
OPENGAUSS_HOST=127.0.0.1
OPENGAUSS_PORT=6600
OPENGAUSS_USER=postgres
OPENGAUSS_PASSWORD=Dify@123
OPENGAUSS_DATABASE=dify
OPENGAUSS_MIN_CONNECTION=1
OPENGAUSS_MAX_CONNECTION=5
# Upload configuration
UPLOAD_FILE_SIZE_LIMIT=15
UPLOAD_FILE_BATCH_LIMIT=5
UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
# Comma-separated list of file extensions blocked from upload for security reasons.
# Extensions should be lowercase without dots (e.g., exe,bat,sh,dll).
# Empty by default to allow all file types.
# Recommended: exe,bat,cmd,com,scr,vbs,ps1,msi,dll
UPLOAD_FILE_EXTENSION_BLACKLIST=
# Model configuration
MULTIMODAL_SEND_FORMAT=base64
# Model Configuration
MULTIMODAL_SEND_IMAGE_FORMAT=base64
PROMPT_GENERATION_MAX_TOKENS=512
CODE_GENERATION_MAX_TOKENS=1024
PLUGIN_BASED_TOKEN_COUNTING_ENABLED=false
# Mail configuration, support: resend, smtp, sendgrid
# Mail configuration, support: resend, smtp
MAIL_TYPE=
# If using SendGrid, use the 'from' field for authentication if necessary.
MAIL_DEFAULT_SEND_FROM=no-reply <no-reply@dify.ai>
# resend configuration
RESEND_API_KEY=
RESEND_API_URL=https://api.resend.com
# smtp configuration
@@ -405,14 +204,12 @@ SMTP_USERNAME=123
SMTP_PASSWORD=abc
SMTP_USE_TLS=true
SMTP_OPPORTUNISTIC_TLS=false
# Sendgid configuration
SENDGRID_API_KEY=
# Sentry configuration
SENTRY_DSN=
# DEBUG
DEBUG=false
ENABLE_REQUEST_LOGGING=False
SQLALCHEMY_ECHO=false
# Notion import configuration, support public and internal
@@ -424,40 +221,21 @@ NOTION_INTERNAL_SECRET=you-internal-secret
ETL_TYPE=dify
UNSTRUCTURED_API_URL=
UNSTRUCTURED_API_KEY=
SCARF_NO_ANALYTICS=true
#ssrf
SSRF_PROXY_HTTP_URL=
SSRF_PROXY_HTTPS_URL=
SSRF_DEFAULT_MAX_RETRIES=3
SSRF_DEFAULT_TIME_OUT=5
SSRF_DEFAULT_CONNECT_TIME_OUT=5
SSRF_DEFAULT_READ_TIME_OUT=5
SSRF_DEFAULT_WRITE_TIME_OUT=5
SSRF_POOL_MAX_CONNECTIONS=100
SSRF_POOL_MAX_KEEPALIVE_CONNECTIONS=20
SSRF_POOL_KEEPALIVE_EXPIRY=5.0
BATCH_UPLOAD_LIMIT=10
KEYWORD_DATA_SOURCE_TYPE=database
# Workflow file upload limit
WORKFLOW_FILE_UPLOAD_LIMIT=10
# CODE EXECUTION CONFIGURATION
CODE_EXECUTION_ENDPOINT=http://127.0.0.1:8194
CODE_EXECUTION_API_KEY=dify-sandbox
CODE_EXECUTION_SSL_VERIFY=True
CODE_EXECUTION_POOL_MAX_CONNECTIONS=100
CODE_EXECUTION_POOL_MAX_KEEPALIVE_CONNECTIONS=20
CODE_EXECUTION_POOL_KEEPALIVE_EXPIRY=5.0
CODE_EXECUTION_CONNECT_TIMEOUT=10
CODE_EXECUTION_READ_TIMEOUT=60
CODE_EXECUTION_WRITE_TIMEOUT=10
CODE_MAX_NUMBER=9223372036854775807
CODE_MIN_NUMBER=-9223372036854775808
CODE_MAX_STRING_LENGTH=400000
TEMPLATE_TRANSFORM_MAX_LENGTH=400000
CODE_MAX_STRING_LENGTH=80000
TEMPLATE_TRANSFORM_MAX_LENGTH=80000
CODE_MAX_STRING_ARRAY_LENGTH=30
CODE_MAX_OBJECT_ARRAY_LENGTH=30
CODE_MAX_NUMBER_ARRAY_LENGTH=1000
@@ -472,96 +250,26 @@ HTTP_REQUEST_MAX_READ_TIMEOUT=600
HTTP_REQUEST_MAX_WRITE_TIMEOUT=600
HTTP_REQUEST_NODE_MAX_BINARY_SIZE=10485760
HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576
HTTP_REQUEST_NODE_SSL_VERIFY=True
# Webhook request configuration
WEBHOOK_REQUEST_BODY_MAX_SIZE=10485760
# Respect X-* headers to redirect clients
RESPECT_XFORWARD_HEADERS_ENABLED=false
# Log file path
LOG_FILE=
# Log file max size, the unit is MB
LOG_FILE_MAX_SIZE=20
# Log file max backup count
LOG_FILE_BACKUP_COUNT=5
# Log dateformat
LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
# Log Timezone
LOG_TZ=UTC
# Log format
LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s
# Indexing configuration
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=4000
INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
# Workflow runtime configuration
WORKFLOW_MAX_EXECUTION_STEPS=500
WORKFLOW_MAX_EXECUTION_TIME=1200
WORKFLOW_CALL_MAX_DEPTH=5
MAX_VARIABLE_SIZE=204800
# GraphEngine Worker Pool Configuration
# Minimum number of workers per GraphEngine instance (default: 1)
GRAPH_ENGINE_MIN_WORKERS=1
# Maximum number of workers per GraphEngine instance (default: 10)
GRAPH_ENGINE_MAX_WORKERS=10
# Queue depth threshold that triggers worker scale up (default: 3)
GRAPH_ENGINE_SCALE_UP_THRESHOLD=3
# Seconds of idle time before scaling down workers (default: 5.0)
GRAPH_ENGINE_SCALE_DOWN_IDLE_TIME=5.0
# Workflow storage configuration
# Options: rdbms, hybrid
# rdbms: Use only the relational database (default)
# hybrid: Save new data to object storage, read from both object storage and RDBMS
WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
# Repository configuration
# Core workflow execution repository implementation
CORE_WORKFLOW_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_execution_repository.SQLAlchemyWorkflowExecutionRepository
# Core workflow node execution repository implementation
CORE_WORKFLOW_NODE_EXECUTION_REPOSITORY=core.repositories.sqlalchemy_workflow_node_execution_repository.SQLAlchemyWorkflowNodeExecutionRepository
# API workflow node execution repository implementation
API_WORKFLOW_NODE_EXECUTION_REPOSITORY=repositories.sqlalchemy_api_workflow_node_execution_repository.DifyAPISQLAlchemyWorkflowNodeExecutionRepository
# API workflow run repository implementation
API_WORKFLOW_RUN_REPOSITORY=repositories.sqlalchemy_api_workflow_run_repository.DifyAPISQLAlchemyWorkflowRunRepository
# Workflow log cleanup configuration
# Enable automatic cleanup of workflow run logs to manage database size
WORKFLOW_LOG_CLEANUP_ENABLED=false
# Number of days to retain workflow run logs (default: 30 days)
WORKFLOW_LOG_RETENTION_DAYS=30
# Batch size for workflow log cleanup operations (default: 100)
WORKFLOW_LOG_CLEANUP_BATCH_SIZE=100
# App configuration
APP_MAX_EXECUTION_TIME=1200
APP_DEFAULT_ACTIVE_REQUESTS=0
APP_MAX_ACTIVE_REQUESTS=0
# Celery beat configuration
CELERY_BEAT_SCHEDULER_TIME=1
# Celery schedule tasks configuration
ENABLE_CLEAN_EMBEDDING_CACHE_TASK=false
ENABLE_CLEAN_UNUSED_DATASETS_TASK=false
ENABLE_CREATE_TIDB_SERVERLESS_TASK=false
ENABLE_UPDATE_TIDB_SERVERLESS_STATUS_TASK=false
ENABLE_CLEAN_MESSAGES=false
ENABLE_MAIL_CLEAN_DOCUMENT_NOTIFY_TASK=false
ENABLE_DATASETS_QUEUE_MONITOR=false
ENABLE_CHECK_UPGRADABLE_PLUGIN_TASK=true
ENABLE_WORKFLOW_SCHEDULE_POLLER_TASK=true
# Interval time in minutes for polling scheduled workflows(default: 1 min)
WORKFLOW_SCHEDULE_POLLER_INTERVAL=1
WORKFLOW_SCHEDULE_POLLER_BATCH_SIZE=100
# Maximum number of scheduled workflows to dispatch per tick (0 for unlimited)
WORKFLOW_SCHEDULE_MAX_DISPATCH_PER_TICK=0
# Position configuration
POSITION_TOOL_PINS=
POSITION_TOOL_INCLUDES=
@@ -570,87 +278,3 @@ POSITION_TOOL_EXCLUDES=
POSITION_PROVIDER_PINS=
POSITION_PROVIDER_INCLUDES=
POSITION_PROVIDER_EXCLUDES=
# Plugin configuration
PLUGIN_DAEMON_KEY=lYkiYYT6owG+71oLerGzA7GXCgOT++6ovaezWAjpCjf+Sjc3ZtU+qUEi
PLUGIN_DAEMON_URL=http://127.0.0.1:5002
PLUGIN_REMOTE_INSTALL_PORT=5003
PLUGIN_REMOTE_INSTALL_HOST=localhost
PLUGIN_MAX_PACKAGE_SIZE=15728640
INNER_API_KEY_FOR_PLUGIN=QaHbTe77CtuXmsfyhR7+vRjI/+XbV1AaFy691iy+kGDv2Jvy0/eAh8Y1
# Marketplace configuration
MARKETPLACE_ENABLED=true
MARKETPLACE_API_URL=https://marketplace.dify.ai
# Endpoint configuration
ENDPOINT_URL_TEMPLATE=http://localhost:5002/e/{hook_id}
# Reset password token expiry minutes
RESET_PASSWORD_TOKEN_EXPIRY_MINUTES=5
EMAIL_REGISTER_TOKEN_EXPIRY_MINUTES=5
CHANGE_EMAIL_TOKEN_EXPIRY_MINUTES=5
OWNER_TRANSFER_TOKEN_EXPIRY_MINUTES=5
CREATE_TIDB_SERVICE_JOB_ENABLED=false
# Maximum number of submitted thread count in a ThreadPool for parallel node execution
MAX_SUBMIT_COUNT=100
# Lockout duration in seconds
LOGIN_LOCKOUT_DURATION=86400
# Enable OpenTelemetry
ENABLE_OTEL=false
OTLP_TRACE_ENDPOINT=
OTLP_METRIC_ENDPOINT=
OTLP_BASE_ENDPOINT=http://localhost:4318
OTLP_API_KEY=
OTEL_EXPORTER_OTLP_PROTOCOL=
OTEL_EXPORTER_TYPE=otlp
OTEL_SAMPLING_RATE=0.1
OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
OTEL_MAX_QUEUE_SIZE=2048
OTEL_MAX_EXPORT_BATCH_SIZE=512
OTEL_METRIC_EXPORT_INTERVAL=60000
OTEL_BATCH_EXPORT_TIMEOUT=10000
OTEL_METRIC_EXPORT_TIMEOUT=30000
# Prevent Clickjacking
ALLOW_EMBED=false
# Dataset queue monitor configuration
QUEUE_MONITOR_THRESHOLD=200
# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai
QUEUE_MONITOR_ALERT_EMAILS=
# Monitor interval in minutes, default is 30 minutes
QUEUE_MONITOR_INTERVAL=30
# Swagger UI configuration
SWAGGER_UI_ENABLED=true
SWAGGER_UI_PATH=/swagger-ui.html
# Whether to encrypt dataset IDs when exporting DSL files (default: true)
# Set to false to export dataset IDs as plain text for easier cross-environment import
DSL_EXPORT_ENCRYPT_DATASET_ID=true
# Suggested Questions After Answer Configuration
# These environment variables allow customization of the suggested questions feature
#
# Custom prompt for generating suggested questions (optional)
# If not set, uses the default prompt that generates 3 questions under 20 characters each
# Example: "Please help me predict the five most likely technical follow-up questions a developer would ask. Focus on implementation details, best practices, and architecture considerations. Keep each question between 40-60 characters. Output must be JSON array: [\"question1\",\"question2\",\"question3\",\"question4\",\"question5\"]"
# SUGGESTED_QUESTIONS_PROMPT=
# Maximum number of tokens for suggested questions generation (default: 256)
# Adjust this value for longer questions or more questions
# SUGGESTED_QUESTIONS_MAX_TOKENS=256
# Temperature for suggested questions generation (default: 0.0)
# Higher values (0.5-1.0) produce more creative questions, lower values (0.0-0.3) produce more focused questions
# SUGGESTED_QUESTIONS_TEMPERATURE=0
# Tenant isolated task queue configuration
TENANT_ISOLATED_TASK_CONCURRENCY=1
# Maximum number of segments for dataset segments API (0 for unlimited)
DATASET_MAX_SEGMENTS_PER_REQUEST=0

View File

@@ -1,106 +0,0 @@
[importlinter]
root_packages =
core
configs
controllers
models
tasks
services
[importlinter:contract:workflow]
name = Workflow
type=layers
layers =
graph_engine
graph_events
graph
nodes
node_events
runtime
entities
containers =
core.workflow
ignore_imports =
core.workflow.nodes.base.node -> core.workflow.graph_events
core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_events
core.workflow.nodes.loop.loop_node -> core.workflow.graph_events
core.workflow.nodes.node_factory -> core.workflow.graph
core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine
core.workflow.nodes.iteration.iteration_node -> core.workflow.graph
core.workflow.nodes.iteration.iteration_node -> core.workflow.graph_engine.command_channels
core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine
core.workflow.nodes.loop.loop_node -> core.workflow.graph
core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
[importlinter:contract:rsc]
name = RSC
type = layers
layers =
graph_engine
response_coordinator
containers =
core.workflow.graph_engine
[importlinter:contract:worker]
name = Worker
type = layers
layers =
graph_engine
worker
containers =
core.workflow.graph_engine
[importlinter:contract:graph-engine-architecture]
name = Graph Engine Architecture
type = layers
layers =
graph_engine
orchestration
command_processing
event_management
error_handler
graph_traversal
graph_state_manager
worker_management
domain
containers =
core.workflow.graph_engine
[importlinter:contract:domain-isolation]
name = Domain Model Isolation
type = forbidden
source_modules =
core.workflow.graph_engine.domain
forbidden_modules =
core.workflow.graph_engine.worker_management
core.workflow.graph_engine.command_channels
core.workflow.graph_engine.layers
core.workflow.graph_engine.protocols
[importlinter:contract:worker-management]
name = Worker Management
type = forbidden
source_modules =
core.workflow.graph_engine.worker_management
forbidden_modules =
core.workflow.graph_engine.orchestration
core.workflow.graph_engine.command_processing
core.workflow.graph_engine.event_management
[importlinter:contract:graph-traversal-components]
name = Graph Traversal Components
type = layers
layers =
edge_processor
skip_propagator
containers =
core.workflow.graph_engine.graph_traversal
[importlinter:contract:command-channels]
name = Command Channels Independence
type = independence
modules =
core.workflow.graph_engine.command_channels.in_memory_channel
core.workflow.graph_engine.command_channels.redis_channel

View File

@@ -1,114 +0,0 @@
exclude = ["migrations/*"]
line-length = 120
[format]
quote-style = "double"
[lint]
preview = true
select = [
"B", # flake8-bugbear rules
"C4", # flake8-comprehensions
"E", # pycodestyle E rules
"F", # pyflakes rules
"FURB", # refurb rules
"I", # isort rules
"N", # pep8-naming
"PT", # flake8-pytest-style rules
"PLC0208", # iteration-over-set
"PLC0414", # useless-import-alias
"PLE0604", # invalid-all-object
"PLE0605", # invalid-all-format
"PLR0402", # manual-from-import
"PLR1711", # useless-return
"PLR1714", # repeated-equality-comparison
"RUF013", # implicit-optional
"RUF019", # unnecessary-key-check
"RUF100", # unused-noqa
"RUF101", # redirected-noqa
"RUF200", # invalid-pyproject-toml
"RUF022", # unsorted-dunder-all
"S506", # unsafe-yaml-load
"SIM", # flake8-simplify rules
"T201", # print-found
"TRY400", # error-instead-of-exception
"TRY401", # verbose-log-message
"UP", # pyupgrade rules
"W191", # tab-indentation
"W605", # invalid-escape-sequence
"G001", # don't use str format to logging messages
"G003", # don't use + in logging messages
"G004", # don't use f-strings to format logging messages
"UP042", # use StrEnum,
"S110", # disallow the try-except-pass pattern.
# security related linting rules
# RCE proctection (sort of)
"S102", # exec-builtin, disallow use of `exec`
"S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval`
"S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers.
"S302", # suspicious-marshal-usage, disallow use of `marshal` module
"S311", # suspicious-non-cryptographic-random-usage,
]
ignore = [
"E402", # module-import-not-at-top-of-file
"E711", # none-comparison
"E712", # true-false-comparison
"E721", # type-comparison
"E722", # bare-except
"F821", # undefined-name
"F841", # unused-variable
"FURB113", # repeated-append
"FURB152", # math-constant
"UP007", # non-pep604-annotation
"UP032", # f-string
"UP045", # non-pep604-annotation-optional
"B005", # strip-with-multi-characters
"B006", # mutable-argument-default
"B007", # unused-loop-control-variable
"B026", # star-arg-unpacking-after-keyword-arg
"B901", # allow return in yield
"B903", # class-as-data-structure
"B904", # raise-without-from-inside-except
"B905", # zip-without-explicit-strict
"N806", # non-lowercase-variable-in-function
"N815", # mixed-case-variable-in-class-scope
"PT011", # pytest-raises-too-broad
"SIM102", # collapsible-if
"SIM103", # needless-bool
"SIM105", # suppressible-exception
"SIM107", # return-in-try-except-finally
"SIM108", # if-else-block-instead-of-if-exp
"SIM113", # enumerate-for-loop
"SIM117", # multiple-with-statements
"SIM210", # if-expr-with-true-false
]
[lint.per-file-ignores]
"__init__.py" = [
"F401", # unused-import
"F811", # redefined-while-unused
]
"configs/*" = [
"N802", # invalid-function-name
]
"core/model_runtime/callbacks/base_callback.py" = ["T201"]
"core/workflow/callbacks/workflow_logging_callback.py" = ["T201"]
"libs/gmpy2_pkcs10aep_cipher.py" = [
"N803", # invalid-argument-name
]
"tests/*" = [
"F811", # redefined-while-unused
"T201", # allow print in tests,
"S110", # allow ignoring exceptions in tests code (currently)
]
[lint.pyflakes]
allowed-unused-imports = [
"_pytest.monkeypatch",
"tests.integration_tests",
"tests.unit_tests",
]

View File

@@ -1,15 +1,8 @@
{
"version": "0.2.0",
"compounds": [
{
"name": "Launch Flask and Celery",
"configurations": ["Python: Flask", "Python: Celery"]
}
],
"configurations": [
{
"name": "Python: Flask",
"consoleName": "Flask",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
@@ -24,12 +17,12 @@
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001"
]
},
{
"name": "Python: Celery",
"consoleName": "Celery",
"type": "debugpy",
"request": "launch",
"python": "${workspaceFolder}/.venv/bin/python",
@@ -52,10 +45,10 @@
"-c",
"1",
"--loglevel",
"DEBUG",
"info",
"-Q",
"dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor"
"dataset,generation,mail,ops_trace,app_deletion"
]
}
},
]
}
}

View File

@@ -1,62 +0,0 @@
# Agent Skill Index
Start with the section that best matches your need. Each entry lists the problems it solves plus key files/concepts so you know what to expect before opening it.
______________________________________________________________________
## Platform Foundations
- **[Infrastructure Overview](agent_skills/infra.md)**\
When to read this:
- You need to understand where a feature belongs in the architecture.
- Youre wiring storage, Redis, vector stores, or OTEL.
- Youre about to add CLI commands or async jobs.\
What it covers: configuration stack (`configs/app_config.py`, remote settings), storage entry points (`extensions/ext_storage.py`, `core/file/file_manager.py`), Redis conventions (`extensions/ext_redis.py`), plugin runtime topology, vector-store factory (`core/rag/datasource/vdb/*`), observability hooks, SSRF proxy usage, and core CLI commands.
- **[Coding Style](agent_skills/coding_style.md)**\
When to read this:
- Youre writing or reviewing backend code and need the authoritative checklist.
- Youre unsure about Pydantic validators, SQLAlchemy session usage, or logging patterns.
- You want the exact lint/type/test commands used in PRs.\
Includes: Ruff & BasedPyright commands, no-annotation policy, session examples (`with Session(db.engine, ...)`), `@field_validator` usage, logging expectations, and the rule set for file size, helpers, and package management.
______________________________________________________________________
## Plugin & Extension Development
- **[Plugin Systems](agent_skills/plugin.md)**\
When to read this:
- Youre building or debugging a marketplace plugin.
- You need to know how manifests, providers, daemons, and migrations fit together.\
What it covers: plugin manifests (`core/plugin/entities/plugin.py`), installation/upgrade flows (`services/plugin/plugin_service.py`, CLI commands), runtime adapters (`core/plugin/impl/*` for tool/model/datasource/trigger/endpoint/agent), daemon coordination (`core/plugin/entities/plugin_daemon.py`), and how provider registries surface capabilities to the rest of the platform.
- **[Plugin OAuth](agent_skills/plugin_oauth.md)**\
When to read this:
- You must integrate OAuth for a plugin or datasource.
- Youre handling credential encryption or refresh flows.\
Topics: credential storage, encryption helpers (`core/helper/provider_encryption.py`), OAuth client bootstrap (`services/plugin/oauth_service.py`, `services/plugin/plugin_parameter_service.py`), and how console/API layers expose the flows.
______________________________________________________________________
## Workflow Entry & Execution
- **[Trigger Concepts](agent_skills/trigger.md)**\
When to read this:
- Youre debugging why a workflow didnt start.
- Youre adding a new trigger type or hook.
- You need to trace async execution, draft debugging, or webhook/schedule pipelines.\
Details: Start-node taxonomy, webhook & schedule internals (`core/workflow/nodes/trigger_*`, `services/trigger/*`), async orchestration (`services/async_workflow_service.py`, Celery queues), debug event bus, and storage/logging interactions.
______________________________________________________________________
## Additional Notes for Agents
- All skill docs assume you follow the coding style guide—run Ruff/BasedPyright/tests listed there before submitting changes.
- When you cannot find an answer in these briefs, search the codebase using the paths referenced (e.g., `core/plugin/impl/tool.py`, `services/dataset_service.py`).
- If you run into cross-cutting concerns (tenancy, configuration, storage), check the infrastructure guide first; it links to most supporting modules.
- Keep multi-tenancy and configuration central: everything flows through `configs.dify_config` and `tenant_id`.
- When touching plugins or triggers, consult both the system overview and the specialised doc to ensure you adjust lifecycle, storage, and observability consistently.

View File

@@ -1,13 +1,22 @@
# base image
FROM python:3.12-slim-bookworm AS base
FROM python:3.10-slim-bookworm AS base
WORKDIR /app/api
# Install uv
ENV UV_VERSION=0.8.9
# Install Poetry
ENV POETRY_VERSION=1.8.3
RUN pip install --no-cache-dir uv==${UV_VERSION}
# if you located in China, you can use aliyun mirror to speed up
# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
# Configure Poetry
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
ENV POETRY_NO_INTERACTION=1
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV POETRY_VIRTUALENVS_CREATE=true
ENV POETRY_REQUESTS_TIMEOUT=15
FROM base AS packages
@@ -15,15 +24,11 @@ FROM base AS packages
# RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
# basic environment
g++ \
# for building gmpy2
libmpfr-dev libmpc-dev
&& apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
# Install Python dependencies
COPY pyproject.toml uv.lock ./
RUN uv sync --locked --no-dev
COPY pyproject.toml poetry.lock ./
RUN poetry install --sync --no-cache --no-root
# production stage
FROM base AS production
@@ -41,63 +46,36 @@ EXPOSE 5001
# set timezone
ENV TZ=UTC
# Set UTF-8 locale
ENV LANG=en_US.UTF-8
ENV LC_ALL=en_US.UTF-8
ENV PYTHONIOENCODING=utf-8
WORKDIR /app/api
# Create non-root user
ARG dify_uid=1001
RUN groupadd -r -g ${dify_uid} dify && \
useradd -r -u ${dify_uid} -g ${dify_uid} -s /bin/bash dify && \
chown -R dify:dify /app
RUN \
apt-get update \
# Install dependencies
&& apt-get install -y --no-install-recommends \
# basic environment
curl nodejs \
# for gmpy2 \
libgmp-dev libmpfr-dev libmpc-dev \
# For Security
expat libldap-2.5-0=2.5.13+dfsg-5 perl libsqlite3-0=3.40.1-2+deb12u2 zlib1g=1:1.2.13.dfsg-1 \
# install fonts to support the use of tools like pypdfium2
fonts-noto-cjk \
# install a package to improve the accuracy of guessing mime type and file extension
media-types \
# install libmagic to support the use of python-magic guess MIMETYPE
libmagic1 \
RUN apt-get update \
&& apt-get install -y --no-install-recommends curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
# if you located in China, you can use aliyun mirror to speed up
# && echo "deb http://mirrors.aliyun.com/debian testing main" > /etc/apt/sources.list \
&& echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list \
&& apt-get update \
# For Security
&& apt-get install -y --no-install-recommends zlib1g=1:1.3.dfsg+really1.3.1-1 expat=2.6.2-2 libldap-2.5-0=2.5.18+dfsg-3 perl=5.38.2-5 libsqlite3-0=3.46.0-1 \
&& apt-get autoremove -y \
&& rm -rf /var/lib/apt/lists/*
# Copy Python environment and packages
ENV VIRTUAL_ENV=/app/api/.venv
COPY --from=packages --chown=dify:dify ${VIRTUAL_ENV} ${VIRTUAL_ENV}
COPY --from=packages ${VIRTUAL_ENV} ${VIRTUAL_ENV}
ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
# Download nltk data
RUN mkdir -p /usr/local/share/nltk_data && NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords')" \
&& chmod -R 755 /usr/local/share/nltk_data
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')" \
&& chown -R dify:dify ${TIKTOKEN_CACHE_DIR}
RUN python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')"
# Copy source code
COPY --chown=dify:dify . /app/api/
COPY . /app/api/
# Prepare entrypoint script
COPY --chown=dify:dify --chmod=755 docker/entrypoint.sh /entrypoint.sh
# Copy entrypoint
COPY docker/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
ARG COMMIT_SHA
ENV COMMIT_SHA=${COMMIT_SHA}
ENV NLTK_DATA=/usr/local/share/nltk_data
USER dify
ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

View File

@@ -3,10 +3,7 @@
## Usage
> [!IMPORTANT]
>
> In the v1.3.0 release, `poetry` has been replaced with
> [`uv`](https://docs.astral.sh/uv/) as the package manager
> for Dify API backend service.
> In the v0.6.12 release, we deprecated `pip` as the package management tool for Dify API Backend service and replaced it with `poetry`.
1. Start the docker-compose stack
@@ -15,102 +12,78 @@
```bash
cd ../docker
cp middleware.env.example middleware.env
# change the profile to mysql if you are not using postgres,change the profile to other vector database if you are not using weaviate
docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
# change the profile to other vector database if you are not using weaviate
docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
cd ../api
```
1. Copy `.env.example` to `.env`
```cli
cp .env.example .env
```
> [!IMPORTANT]
>
> When the frontend and backend run on different subdomains, set COOKIE_DOMAIN to the sites top-level domain (e.g., `example.com`). The frontend and backend must be under the same top-level domain in order to share authentication cookies.
1. Generate a `SECRET_KEY` in the `.env` file.
bash for Linux
2. Copy `.env.example` to `.env`
3. Generate a `SECRET_KEY` in the `.env` file.
```bash for Linux
sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env
```
bash for Mac
```bash for Mac
secret_key=$(openssl rand -base64 42)
sed -i '' "/^SECRET_KEY=/c\\
SECRET_KEY=${secret_key}" .env
```
1. Create environment.
4. Create environment.
Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies.
First, you need to add the uv package manager, if you don't have it already.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
5. Install dependencies
```bash
pip install uv
# Or on macOS
brew install uv
poetry env use 3.10
poetry install
```
1. Install dependencies
In case of contributors missing to update dependencies for `pyproject.toml`, you can perform the following shell instead.
```bash
uv sync --dev
poetry shell # activate current environment
poetry add $(cat requirements.txt) # install dependencies of production and update pyproject.toml
poetry add $(cat requirements-dev.txt) --group dev # install dependencies of development and update pyproject.toml
```
1. Run migrate
6. Run migrate
Before the first launch, migrate the database to the latest version.
```bash
uv run flask db upgrade
poetry run python -m flask db upgrade
```
1. Start backend
7. Start backend
```bash
uv run flask run --host 0.0.0.0 --port=5001 --debug
poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
```
1. Start Dify [web](../web) service.
8. Start Dify [web](../web) service.
9. Setup your application by visiting `http://localhost:3000`...
10. If you need to debug local async processing, please start the worker service.
1. Setup your application by visiting `http://localhost:3000`.
```bash
poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
```
1. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
```bash
uv run celery -A app.celery worker -P threads -c 2 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
```
Additionally, if you want to debug the celery scheduled tasks, you can run the following command in another terminal to start the beat service:
```bash
uv run celery -A app.celery beat
```
The started celery app handles the async tasks, e.g. dataset importing and documents indexing.
## Testing
1. Install dependencies for both the backend and the test environment
```bash
uv sync --dev
poetry install --with dev
```
1. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`, more can check [Claude.md](../CLAUDE.md)
2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
```bash
uv run pytest # Run all tests
uv run pytest tests/unit_tests/ # Unit tests only
uv run pytest tests/integration_tests/ # Integration tests
# Code quality
../dev/reformat # Run all formatters and linters
uv run ruff check --fix ./ # Fix linting issues
uv run ruff format ./ # Format code
uv run basedpyright . # Type checking
cd ../
poetry run -C api bash dev/pytest/pytest_all_tests.sh
```

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@@ -1,115 +0,0 @@
## Linter
- Always follow `.ruff.toml`.
- Run `uv run ruff check --fix --unsafe-fixes`.
- Keep each line under 100 characters (including spaces).
## Code Style
- `snake_case` for variables and functions.
- `PascalCase` for classes.
- `UPPER_CASE` for constants.
## Rules
- Use Pydantic v2 standard.
- Use `uv` for package management.
- Do not override dunder methods like `__init__`, `__iadd__`, etc.
- Never launch services (`uv run app.py`, `flask run`, etc.); running tests under `tests/` is allowed.
- Prefer simple functions over classes for lightweight helpers.
- Keep files below 800 lines; split when necessary.
- Keep code readable—no clever hacks.
- Never use `print`; log with `logger = logging.getLogger(__name__)`.
## Guiding Principles
- Mirror the projects layered architecture: controller → service → core/domain.
- Reuse existing helpers in `core/`, `services/`, and `libs/` before creating new abstractions.
- Optimise for observability: deterministic control flow, clear logging, actionable errors.
## SQLAlchemy Patterns
- Models inherit from `models.base.Base`; never create ad-hoc metadata or engines.
- Open sessions with context managers:
```python
from sqlalchemy.orm import Session
with Session(db.engine, expire_on_commit=False) as session:
stmt = select(Workflow).where(
Workflow.id == workflow_id,
Workflow.tenant_id == tenant_id,
)
workflow = session.execute(stmt).scalar_one_or_none()
```
- Use SQLAlchemy expressions; avoid raw SQL unless necessary.
- Introduce repository abstractions only for very large tables (e.g., workflow executions) to support alternative storage strategies.
- Always scope queries by `tenant_id` and protect write paths with safeguards (`FOR UPDATE`, row counts, etc.).
## Storage & External IO
- Access storage via `extensions.ext_storage.storage`.
- Use `core.helper.ssrf_proxy` for outbound HTTP fetches.
- Background tasks that touch storage must be idempotent and log the relevant object identifiers.
## Pydantic Usage
- Define DTOs with Pydantic v2 models and forbid extras by default.
- Use `@field_validator` / `@model_validator` for domain rules.
- Example:
```python
from pydantic import BaseModel, ConfigDict, HttpUrl, field_validator
class TriggerConfig(BaseModel):
endpoint: HttpUrl
secret: str
model_config = ConfigDict(extra="forbid")
@field_validator("secret")
def ensure_secret_prefix(cls, value: str) -> str:
if not value.startswith("dify_"):
raise ValueError("secret must start with dify_")
return value
```
## Generics & Protocols
- Use `typing.Protocol` to define behavioural contracts (e.g., cache interfaces).
- Apply generics (`TypeVar`, `Generic`) for reusable utilities like caches or providers.
- Validate dynamic inputs at runtime when generics cannot enforce safety alone.
## Error Handling & Logging
- Raise domain-specific exceptions (`services/errors`, `core/errors`) and translate to HTTP responses in controllers.
- Declare `logger = logging.getLogger(__name__)` at module top.
- Include tenant/app/workflow identifiers in log context.
- Log retryable events at `warning`, terminal failures at `error`.
## Tooling & Checks
- Format/lint: `uv run --project api --dev ruff format ./api` and `uv run --project api --dev ruff check --fix --unsafe-fixes ./api`.
- Type checks: `uv run --directory api --dev basedpyright`.
- Tests: `uv run --project api --dev dev/pytest/pytest_unit_tests.sh`.
- Run all of the above before submitting your work.
## Controllers & Services
- Controllers: parse input via Pydantic, invoke services, return serialised responses; no business logic.
- Services: coordinate repositories, providers, background tasks; keep side effects explicit.
- Avoid repositories unless necessary; direct SQLAlchemy usage is preferred for typical tables.
- Document non-obvious behaviour with concise comments.
## Miscellaneous
- Use `configs.dify_config` for configuration—never read environment variables directly.
- Maintain tenant awareness end-to-end; `tenant_id` must flow through every layer touching shared resources.
- Queue async work through `services/async_workflow_service`; implement tasks under `tasks/` with explicit queue selection.
- Keep experimental scripts under `dev/`; do not ship them in production builds.

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@@ -1,96 +0,0 @@
## Configuration
- Import `configs.dify_config` for every runtime toggle. Do not read environment variables directly.
- Add new settings to the proper mixin inside `configs/` (deployment, feature, middleware, etc.) so they load through `DifyConfig`.
- Remote overrides come from the optional providers in `configs/remote_settings_sources`; keep defaults in code safe when the value is missing.
- Example: logging pulls targets from `extensions/ext_logging.py`, and model provider URLs are assembled in `services/entities/model_provider_entities.py`.
## Dependencies
- Runtime dependencies live in `[project].dependencies` inside `pyproject.toml`. Optional clients go into the `storage`, `tools`, or `vdb` groups under `[dependency-groups]`.
- Always pin versions and keep the list alphabetised. Shared tooling (lint, typing, pytest) belongs in the `dev` group.
- When code needs a new package, explain why in the PR and run `uv lock` so the lockfile stays current.
## Storage & Files
- Use `extensions.ext_storage.storage` for all blob IO; it already respects the configured backend.
- Convert files for workflows with helpers in `core/file/file_manager.py`; they handle signed URLs and multimodal payloads.
- When writing controller logic, delegate upload quotas and metadata to `services/file_service.py` instead of touching storage directly.
- All outbound HTTP fetches (webhooks, remote files) must go through the SSRF-safe client in `core/helper/ssrf_proxy.py`; it wraps `httpx` with the allow/deny rules configured for the platform.
## Redis & Shared State
- Access Redis through `extensions.ext_redis.redis_client`. For locking, reuse `redis_client.lock`.
- Prefer higher-level helpers when available: rate limits use `libs.helper.RateLimiter`, provider metadata uses caches in `core/helper/provider_cache.py`.
## Models
- SQLAlchemy models sit in `models/` and inherit from the shared declarative `Base` defined in `models/base.py` (metadata configured via `models/engine.py`).
- `models/__init__.py` exposes grouped aggregates: account/tenant models, app and conversation tables, datasets, providers, workflow runs, triggers, etc. Import from there to avoid deep path churn.
- Follow the DDD boundary: persistence objects live in `models/`, repositories under `repositories/` translate them into domain entities, and services consume those repositories.
- When adding a table, create the model class, register it in `models/__init__.py`, wire a repository if needed, and generate an Alembic migration as described below.
## Vector Stores
- Vector client implementations live in `core/rag/datasource/vdb/<provider>`, with a common factory in `core/rag/datasource/vdb/vector_factory.py` and enums in `core/rag/datasource/vdb/vector_type.py`.
- Retrieval pipelines call these providers through `core/rag/datasource/retrieval_service.py` and dataset ingestion flows in `services/dataset_service.py`.
- The CLI helper `flask vdb-migrate` orchestrates bulk migrations using routines in `commands.py`; reuse that pattern when adding new backend transitions.
- To add another store, mirror the provider layout, register it with the factory, and include any schema changes in Alembic migrations.
## Observability & OTEL
- OpenTelemetry settings live under the observability mixin in `configs/observability`. Toggle exporters and sampling via `dify_config`, not ad-hoc env reads.
- HTTP, Celery, Redis, SQLAlchemy, and httpx instrumentation is initialised in `extensions/ext_app_metrics.py` and `extensions/ext_request_logging.py`; reuse these hooks when adding new workers or entrypoints.
- When creating background tasks or external calls, propagate tracing context with helpers in the existing instrumented clients (e.g. use the shared `httpx` session from `core/helper/http_client_pooling.py`).
- If you add a new external integration, ensure spans and metrics are emitted by wiring the appropriate OTEL instrumentation package in `pyproject.toml` and configuring it in `extensions/`.
## Ops Integrations
- Langfuse support and other tracing bridges live under `core/ops/opik_trace`. Config toggles sit in `configs/observability`, while exporters are initialised in the OTEL extensions mentioned above.
- External monitoring services should follow this pattern: keep client code in `core/ops`, expose switches via `dify_config`, and hook initialisation in `extensions/ext_app_metrics.py` or sibling modules.
- Before instrumenting new code paths, check whether existing context helpers (e.g. `extensions/ext_request_logging.py`) already capture the necessary metadata.
## Controllers, Services, Core
- Controllers only parse HTTP input and call a service method. Keep business rules in `services/`.
- Services enforce tenant rules, quotas, and orchestration, then call into `core/` engines (workflow execution, tools, LLMs).
- When adding a new endpoint, search for an existing service to extend before introducing a new layer. Example: workflow APIs pipe through `services/workflow_service.py` into `core/workflow`.
## Plugins, Tools, Providers
- In Dify a plugin is a tenant-installable bundle that declares one or more providers (tool, model, datasource, trigger, endpoint, agent strategy) plus its resource needs and version metadata. The manifest (`core/plugin/entities/plugin.py`) mirrors what you see in the marketplace documentation.
- Installation, upgrades, and migrations are orchestrated by `services/plugin/plugin_service.py` together with helpers such as `services/plugin/plugin_migration.py`.
- Runtime loading happens through the implementations under `core/plugin/impl/*` (tool/model/datasource/trigger/endpoint/agent). These modules normalise plugin providers so that downstream systems (`core/tools/tool_manager.py`, `services/model_provider_service.py`, `services/trigger/*`) can treat builtin and plugin capabilities the same way.
- For remote execution, plugin daemons (`core/plugin/entities/plugin_daemon.py`, `core/plugin/impl/plugin.py`) manage lifecycle hooks, credential forwarding, and background workers that keep plugin processes in sync with the main application.
- Acquire tool implementations through `core/tools/tool_manager.py`; it resolves builtin, plugin, and workflow-as-tool providers uniformly, injecting the right context (tenant, credentials, runtime config).
- To add a new plugin capability, extend the relevant `core/plugin/entities` schema and register the implementation in the matching `core/plugin/impl` module rather than importing the provider directly.
## Async Workloads
see `agent_skills/trigger.md` for more detailed documentation.
- Enqueue background work through `services/async_workflow_service.py`. It routes jobs to the tiered Celery queues defined in `tasks/`.
- Workers boot from `celery_entrypoint.py` and execute functions in `tasks/workflow_execution_tasks.py`, `tasks/trigger_processing_tasks.py`, etc.
- Scheduled workflows poll from `schedule/workflow_schedule_tasks.py`. Follow the same pattern if you need new periodic jobs.
## Database & Migrations
- SQLAlchemy models live under `models/` and map directly to migration files in `migrations/versions`.
- Generate migrations with `uv run --project api flask db revision --autogenerate -m "<summary>"`, then review the diff; never hand-edit the database outside Alembic.
- Apply migrations locally using `uv run --project api flask db upgrade`; production deploys expect the same history.
- If you add tenant-scoped data, confirm the upgrade includes tenant filters or defaults consistent with the service logic touching those tables.
## CLI Commands
- Maintenance commands from `commands.py` are registered on the Flask CLI. Run them via `uv run --project api flask <command>`.
- Use the built-in `db` commands from Flask-Migrate for schema operations (`flask db upgrade`, `flask db stamp`, etc.). Only fall back to custom helpers if you need their extra behaviour.
- Custom entries such as `flask reset-password`, `flask reset-email`, and `flask vdb-migrate` handle self-hosted account recovery and vector database migrations.
- Before adding a new command, check whether an existing service can be reused and ensure the command guards edition-specific behaviour (many enforce `SELF_HOSTED`). Document any additions in the PR.
- Ruff helpers are run directly with `uv`: `uv run --project api --dev ruff format ./api` for formatting and `uv run --project api --dev ruff check ./api` (add `--fix` if you want automatic fixes).
## When You Add Features
- Check for an existing helper or service before writing a new util.
- Uphold tenancy: every service method should receive the tenant ID from controller wrappers such as `controllers/console/wraps.py`.
- Update or create tests alongside behaviour changes (`tests/unit_tests` for fast coverage, `tests/integration_tests` when touching orchestrations).
- Run `uv run --project api --dev ruff check ./api`, `uv run --directory api --dev basedpyright`, and `uv run --project api --dev dev/pytest/pytest_unit_tests.sh` before submitting changes.

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// TBD

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// TBD

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@@ -1,53 +0,0 @@
## Overview
Trigger is a collection of nodes that we called `Start` nodes, also, the concept of `Start` is the same as `RootNode` in the workflow engine `core/workflow/graph_engine`, On the other hand, `Start` node is the entry point of workflows, every workflow run always starts from a `Start` node.
## Trigger nodes
- `UserInput`
- `Trigger Webhook`
- `Trigger Schedule`
- `Trigger Plugin`
### UserInput
Before `Trigger` concept is introduced, it's what we called `Start` node, but now, to avoid confusion, it was renamed to `UserInput` node, has a strong relation with `ServiceAPI` in `controllers/service_api/app`
1. `UserInput` node introduces a list of arguments that need to be provided by the user, finally it will be converted into variables in the workflow variable pool.
1. `ServiceAPI` accept those arguments, and pass through them into `UserInput` node.
1. For its detailed implementation, please refer to `core/workflow/nodes/start`
### Trigger Webhook
Inside Webhook Node, Dify provided a UI panel that allows user define a HTTP manifest `core/workflow/nodes/trigger_webhook/entities.py`.`WebhookData`, also, Dify generates a random webhook id for each `Trigger Webhook` node, the implementation was implemented in `core/trigger/utils/endpoint.py`, as you can see, `webhook-debug` is a debug mode for webhook, you may find it in `controllers/trigger/webhook.py`.
Finally, requests to `webhook` endpoint will be converted into variables in workflow variable pool during workflow execution.
### Trigger Schedule
`Trigger Schedule` node is a node that allows user define a schedule to trigger the workflow, detailed manifest is here `core/workflow/nodes/trigger_schedule/entities.py`, we have a poller and executor to handle millions of schedules, see `docker/entrypoint.sh` / `schedule/workflow_schedule_task.py` for help.
To Achieve this, a `WorkflowSchedulePlan` model was introduced in `models/trigger.py`, and a `events/event_handlers/sync_workflow_schedule_when_app_published.py` was used to sync workflow schedule plans when app is published.
### Trigger Plugin
`Trigger Plugin` node allows user define there own distributed trigger plugin, whenever a request was received, Dify forwards it to the plugin and wait for parsed variables from it.
1. Requests were saved in storage by `services/trigger/trigger_request_service.py`, referenced by `services/trigger/trigger_service.py`.`TriggerService`.`process_endpoint`
1. Plugins accept those requests and parse variables from it, see `core/plugin/impl/trigger.py` for details.
A `subscription` concept was out here by Dify, it means an endpoint address from Dify was bound to thirdparty webhook service like `Github` `Slack` `Linear` `GoogleDrive` `Gmail` etc. Once a subscription was created, Dify continually receives requests from the platforms and handle them one by one.
## Worker Pool / Async Task
All the events that triggered a new workflow run is always in async mode, a unified entrypoint can be found here `services/async_workflow_service.py`.`AsyncWorkflowService`.`trigger_workflow_async`.
The infrastructure we used is `celery`, we've already configured it in `docker/entrypoint.sh`, and the consumers are in `tasks/async_workflow_tasks.py`, 3 queues were used to handle different tiers of users, `PROFESSIONAL_QUEUE` `TEAM_QUEUE` `SANDBOX_QUEUE`.
## Debug Strategy
Dify divided users into 2 groups: builders / end users.
Builders are the users who create workflows, in this stage, debugging a workflow becomes a critical part of the workflow development process, as the start node in workflows, trigger nodes can `listen` to the events from `WebhookDebug` `Schedule` `Plugin`, debugging process was created in `controllers/console/app/workflow.py`.`DraftWorkflowTriggerNodeApi`.
A polling process can be considered as combine of few single `poll` operations, each `poll` operation fetches events cached in `Redis`, returns `None` if no event was found, more detailed implemented: `core/trigger/debug/event_bus.py` was used to handle the polling process, and `core/trigger/debug/event_selectors.py` was used to select the event poller based on the trigger type.

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@@ -1,29 +1,312 @@
import os
if os.environ.get("DEBUG", "false").lower() != "true":
from gevent import monkey
monkey.patch_all()
import grpc.experimental.gevent
grpc.experimental.gevent.init_gevent()
import json
import logging
import sys
import threading
import time
import warnings
from logging.handlers import RotatingFileHandler
from flask import Flask, Response, request
from flask_cors import CORS
from werkzeug.exceptions import Unauthorized
import contexts
from commands import register_commands
from configs import dify_config
# DO NOT REMOVE BELOW
from events import event_handlers
from extensions import (
ext_celery,
ext_code_based_extension,
ext_compress,
ext_database,
ext_hosting_provider,
ext_login,
ext_mail,
ext_migrate,
ext_redis,
ext_sentry,
ext_storage,
)
from extensions.ext_database import db
from extensions.ext_login import login_manager
from libs.passport import PassportService
# TODO: Find a way to avoid importing models here
from models import account, dataset, model, source, task, tool, tools, web
from services.account_service import AccountService
# DO NOT REMOVE ABOVE
def is_db_command() -> bool:
if len(sys.argv) > 1 and sys.argv[0].endswith("flask") and sys.argv[1] == "db":
return True
return False
warnings.simplefilter("ignore", ResourceWarning)
# fix windows platform
if os.name == "nt":
os.system('tzutil /s "UTC"')
else:
os.environ["TZ"] = "UTC"
time.tzset()
class DifyApp(Flask):
pass
# -------------
# Configuration
# -------------
config_type = os.getenv("EDITION", default="SELF_HOSTED") # ce edition first
# ----------------------------
# Application Factory Function
# ----------------------------
def create_flask_app_with_configs() -> Flask:
"""
create a raw flask app
with configs loaded from .env file
"""
dify_app = DifyApp(__name__)
dify_app.config.from_mapping(dify_config.model_dump())
# populate configs into system environment variables
for key, value in dify_app.config.items():
if isinstance(value, str):
os.environ[key] = value
elif isinstance(value, int | float | bool):
os.environ[key] = str(value)
elif value is None:
os.environ[key] = ""
return dify_app
def create_app() -> Flask:
app = create_flask_app_with_configs()
app.secret_key = app.config["SECRET_KEY"]
log_handlers = None
log_file = app.config.get("LOG_FILE")
if log_file:
log_dir = os.path.dirname(log_file)
os.makedirs(log_dir, exist_ok=True)
log_handlers = [
RotatingFileHandler(
filename=log_file,
maxBytes=1024 * 1024 * 1024,
backupCount=5,
),
logging.StreamHandler(sys.stdout),
]
logging.basicConfig(
level=app.config.get("LOG_LEVEL"),
format=app.config.get("LOG_FORMAT"),
datefmt=app.config.get("LOG_DATEFORMAT"),
handlers=log_handlers,
force=True,
)
log_tz = app.config.get("LOG_TZ")
if log_tz:
from datetime import datetime
import pytz
timezone = pytz.timezone(log_tz)
def time_converter(seconds):
return datetime.utcfromtimestamp(seconds).astimezone(timezone).timetuple()
for handler in logging.root.handlers:
handler.formatter.converter = time_converter
initialize_extensions(app)
register_blueprints(app)
register_commands(app)
return app
def initialize_extensions(app):
# Since the application instance is now created, pass it to each Flask
# extension instance to bind it to the Flask application instance (app)
ext_compress.init_app(app)
ext_code_based_extension.init()
ext_database.init_app(app)
ext_migrate.init(app, db)
ext_redis.init_app(app)
ext_storage.init_app(app)
ext_celery.init_app(app)
ext_login.init_app(app)
ext_mail.init_app(app)
ext_hosting_provider.init_app(app)
ext_sentry.init_app(app)
# Flask-Login configuration
@login_manager.request_loader
def load_user_from_request(request_from_flask_login):
"""Load user based on the request."""
if request.blueprint not in ["console", "inner_api"]:
return None
# Check if the user_id contains a dot, indicating the old format
auth_header = request.headers.get("Authorization", "")
if not auth_header:
auth_token = request.args.get("_token")
if not auth_token:
raise Unauthorized("Invalid Authorization token.")
else:
if " " not in auth_header:
raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
auth_scheme, auth_token = auth_header.split(None, 1)
auth_scheme = auth_scheme.lower()
if auth_scheme != "bearer":
raise Unauthorized("Invalid Authorization header format. Expected 'Bearer <api-key>' format.")
decoded = PassportService().verify(auth_token)
user_id = decoded.get("user_id")
account = AccountService.load_logged_in_account(account_id=user_id, token=auth_token)
if account:
contexts.tenant_id.set(account.current_tenant_id)
return account
@login_manager.unauthorized_handler
def unauthorized_handler():
"""Handle unauthorized requests."""
return Response(
json.dumps({"code": "unauthorized", "message": "Unauthorized."}),
status=401,
content_type="application/json",
)
# register blueprint routers
def register_blueprints(app):
from controllers.console import bp as console_app_bp
from controllers.files import bp as files_bp
from controllers.inner_api import bp as inner_api_bp
from controllers.service_api import bp as service_api_bp
from controllers.web import bp as web_bp
CORS(
service_api_bp,
allow_headers=["Content-Type", "Authorization", "X-App-Code"],
methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
)
app.register_blueprint(service_api_bp)
CORS(
web_bp,
resources={r"/*": {"origins": app.config["WEB_API_CORS_ALLOW_ORIGINS"]}},
supports_credentials=True,
allow_headers=["Content-Type", "Authorization", "X-App-Code"],
methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
expose_headers=["X-Version", "X-Env"],
)
app.register_blueprint(web_bp)
CORS(
console_app_bp,
resources={r"/*": {"origins": app.config["CONSOLE_CORS_ALLOW_ORIGINS"]}},
supports_credentials=True,
allow_headers=["Content-Type", "Authorization"],
methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"],
expose_headers=["X-Version", "X-Env"],
)
app.register_blueprint(console_app_bp)
CORS(files_bp, allow_headers=["Content-Type"], methods=["GET", "PUT", "POST", "DELETE", "OPTIONS", "PATCH"])
app.register_blueprint(files_bp)
app.register_blueprint(inner_api_bp)
# create app
if is_db_command():
from app_factory import create_migrations_app
app = create_app()
celery = app.extensions["celery"]
app = create_migrations_app()
else:
# Gunicorn and Celery handle monkey patching automatically in production by
# specifying the `gevent` worker class. Manual monkey patching is not required here.
#
# See `api/docker/entrypoint.sh` (lines 33 and 47) for details.
#
# For third-party library patching, refer to `gunicorn.conf.py` and `celery_entrypoint.py`.
if app.config.get("TESTING"):
print("App is running in TESTING mode")
from app_factory import create_app
app = create_app()
celery = app.extensions["celery"]
@app.after_request
def after_request(response):
"""Add Version headers to the response."""
response.set_cookie("remember_token", "", expires=0)
response.headers.add("X-Version", app.config["CURRENT_VERSION"])
response.headers.add("X-Env", app.config["DEPLOY_ENV"])
return response
@app.route("/health")
def health():
return Response(
json.dumps({"pid": os.getpid(), "status": "ok", "version": app.config["CURRENT_VERSION"]}),
status=200,
content_type="application/json",
)
@app.route("/threads")
def threads():
num_threads = threading.active_count()
threads = threading.enumerate()
thread_list = []
for thread in threads:
thread_name = thread.name
thread_id = thread.ident
is_alive = thread.is_alive()
thread_list.append(
{
"name": thread_name,
"id": thread_id,
"is_alive": is_alive,
}
)
return {
"pid": os.getpid(),
"thread_num": num_threads,
"threads": thread_list,
}
@app.route("/db-pool-stat")
def pool_stat():
engine = db.engine
return {
"pid": os.getpid(),
"pool_size": engine.pool.size(),
"checked_in_connections": engine.pool.checkedin(),
"checked_out_connections": engine.pool.checkedout(),
"overflow_connections": engine.pool.overflow(),
"connection_timeout": engine.pool.timeout(),
"recycle_time": db.engine.pool._recycle,
}
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5001)

View File

@@ -1,141 +0,0 @@
import logging
import time
from opentelemetry.trace import get_current_span
from configs import dify_config
from contexts.wrapper import RecyclableContextVar
from dify_app import DifyApp
logger = logging.getLogger(__name__)
# ----------------------------
# Application Factory Function
# ----------------------------
def create_flask_app_with_configs() -> DifyApp:
"""
create a raw flask app
with configs loaded from .env file
"""
dify_app = DifyApp(__name__)
dify_app.config.from_mapping(dify_config.model_dump())
dify_app.config["RESTX_INCLUDE_ALL_MODELS"] = True
# add before request hook
@dify_app.before_request
def before_request():
# add an unique identifier to each request
RecyclableContextVar.increment_thread_recycles()
# add after request hook for injecting X-Trace-Id header from OpenTelemetry span context
@dify_app.after_request
def add_trace_id_header(response):
try:
span = get_current_span()
ctx = span.get_span_context() if span else None
if ctx and ctx.is_valid:
trace_id_hex = format(ctx.trace_id, "032x")
# Avoid duplicates if some middleware added it
if "X-Trace-Id" not in response.headers:
response.headers["X-Trace-Id"] = trace_id_hex
except Exception:
# Never break the response due to tracing header injection
logger.warning("Failed to add trace ID to response header", exc_info=True)
return response
# Capture the decorator's return value to avoid pyright reportUnusedFunction
_ = before_request
_ = add_trace_id_header
return dify_app
def create_app() -> DifyApp:
start_time = time.perf_counter()
app = create_flask_app_with_configs()
initialize_extensions(app)
end_time = time.perf_counter()
if dify_config.DEBUG:
logger.info("Finished create_app (%s ms)", round((end_time - start_time) * 1000, 2))
return app
def initialize_extensions(app: DifyApp):
from extensions import (
ext_app_metrics,
ext_blueprints,
ext_celery,
ext_code_based_extension,
ext_commands,
ext_compress,
ext_database,
ext_forward_refs,
ext_hosting_provider,
ext_import_modules,
ext_logging,
ext_login,
ext_mail,
ext_migrate,
ext_orjson,
ext_otel,
ext_proxy_fix,
ext_redis,
ext_request_logging,
ext_sentry,
ext_set_secretkey,
ext_storage,
ext_timezone,
ext_warnings,
)
extensions = [
ext_timezone,
ext_logging,
ext_warnings,
ext_import_modules,
ext_orjson,
ext_forward_refs,
ext_set_secretkey,
ext_compress,
ext_code_based_extension,
ext_database,
ext_app_metrics,
ext_migrate,
ext_redis,
ext_storage,
ext_celery,
ext_login,
ext_mail,
ext_hosting_provider,
ext_sentry,
ext_proxy_fix,
ext_blueprints,
ext_commands,
ext_otel,
ext_request_logging,
]
for ext in extensions:
short_name = ext.__name__.split(".")[-1]
is_enabled = ext.is_enabled() if hasattr(ext, "is_enabled") else True
if not is_enabled:
if dify_config.DEBUG:
logger.info("Skipped %s", short_name)
continue
start_time = time.perf_counter()
ext.init_app(app)
end_time = time.perf_counter()
if dify_config.DEBUG:
logger.info("Loaded %s (%s ms)", short_name, round((end_time - start_time) * 1000, 2))
def create_migrations_app():
app = create_flask_app_with_configs()
from extensions import ext_database, ext_migrate
# Initialize only required extensions
ext_database.init_app(app)
ext_migrate.init_app(app)
return app

View File

@@ -1,13 +0,0 @@
import psycogreen.gevent as pscycogreen_gevent # type: ignore
from grpc.experimental import gevent as grpc_gevent # type: ignore
# grpc gevent
grpc_gevent.init_gevent()
print("gRPC patched with gevent.", flush=True) # noqa: T201
pscycogreen_gevent.patch_psycopg()
print("psycopg2 patched with gevent.", flush=True) # noqa: T201
from app import app, celery
__all__ = ["app", "celery"]

View File

@@ -1,7 +0,0 @@
#!/bin/bash
set -euxo pipefail
for pattern in "Base" "TypeBase"; do
printf "%s " "$pattern"
grep "($pattern):" -r --include='*.py' --exclude-dir=".venv" --exclude-dir="tests" . | wc -l
done

File diff suppressed because it is too large Load Diff

View File

@@ -1,3 +1,3 @@
from .app_config import DifyConfig
dify_config = DifyConfig() # type: ignore
dify_config = DifyConfig()

View File

@@ -1,58 +1,11 @@
import logging
from pathlib import Path
from typing import Any
from pydantic_settings import SettingsConfigDict
from pydantic.fields import FieldInfo
from pydantic_settings import BaseSettings, PydanticBaseSettingsSource, SettingsConfigDict, TomlConfigSettingsSource
from libs.file_utils import search_file_upwards
from .deploy import DeploymentConfig
from .enterprise import EnterpriseFeatureConfig
from .extra import ExtraServiceConfig
from .feature import FeatureConfig
from .middleware import MiddlewareConfig
from .observability import ObservabilityConfig
from .packaging import PackagingInfo
from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
from .remote_settings_sources.apollo import ApolloSettingsSource
from .remote_settings_sources.nacos import NacosSettingsSource
logger = logging.getLogger(__name__)
class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
def __init__(self, settings_cls: type[BaseSettings]):
super().__init__(settings_cls)
def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
raise NotImplementedError
def __call__(self) -> dict[str, Any]:
current_state = self.current_state
remote_source_name = current_state.get("REMOTE_SETTINGS_SOURCE_NAME")
if not remote_source_name:
return {}
remote_source: RemoteSettingsSource | None = None
match remote_source_name:
case RemoteSettingsSourceName.APOLLO:
remote_source = ApolloSettingsSource(current_state)
case RemoteSettingsSourceName.NACOS:
remote_source = NacosSettingsSource(current_state)
case _:
logger.warning("Unsupported remote source: %s", remote_source_name)
return {}
d: dict[str, Any] = {}
for field_name, field in self.settings_cls.model_fields.items():
field_value, field_key, value_is_complex = remote_source.get_field_value(field, field_name)
field_value = remote_source.prepare_field_value(field_name, field, field_value, value_is_complex)
if field_value is not None:
d[field_key] = field_value
return d
from configs.deploy import DeploymentConfig
from configs.enterprise import EnterpriseFeatureConfig
from configs.extra import ExtraServiceConfig
from configs.feature import FeatureConfig
from configs.middleware import MiddlewareConfig
from configs.packaging import PackagingInfo
class DifyConfig(
@@ -66,10 +19,6 @@ class DifyConfig(
MiddlewareConfig,
# Extra service configs
ExtraServiceConfig,
# Observability configs
ObservabilityConfig,
# Remote source configs
RemoteSettingsSourceConfig,
# Enterprise feature configs
# **Before using, please contact business@dify.ai by email to inquire about licensing matters.**
EnterpriseFeatureConfig,
@@ -78,6 +27,7 @@ class DifyConfig(
# read from dotenv format config file
env_file=".env",
env_file_encoding="utf-8",
frozen=True,
# ignore extra attributes
extra="ignore",
)
@@ -86,28 +36,3 @@ class DifyConfig(
# please consider to arrange it in the proper config group of existed or added
# for better readability and maintainability.
# Thanks for your concentration and consideration.
@classmethod
def settings_customise_sources(
cls,
settings_cls: type[BaseSettings],
init_settings: PydanticBaseSettingsSource,
env_settings: PydanticBaseSettingsSource,
dotenv_settings: PydanticBaseSettingsSource,
file_secret_settings: PydanticBaseSettingsSource,
) -> tuple[PydanticBaseSettingsSource, ...]:
return (
init_settings,
env_settings,
RemoteSettingsSourceFactory(settings_cls),
dotenv_settings,
file_secret_settings,
TomlConfigSettingsSource(
settings_cls=settings_cls,
toml_file=search_file_upwards(
base_dir_path=Path(__file__).parent,
target_file_name="pyproject.toml",
max_search_parent_depth=2,
),
),
)

View File

@@ -4,31 +4,30 @@ from pydantic_settings import BaseSettings
class DeploymentConfig(BaseSettings):
"""
Configuration settings for application deployment
Deployment configs
"""
APPLICATION_NAME: str = Field(
description="Name of the application, used for identification and logging purposes",
description="application name",
default="langgenius/dify",
)
DEBUG: bool = Field(
description="Enable debug mode for additional logging and development features",
description="whether to enable debug mode.",
default=False,
)
# Request logging configuration
ENABLE_REQUEST_LOGGING: bool = Field(
description="Enable request and response body logging",
TESTING: bool = Field(
description="",
default=False,
)
EDITION: str = Field(
description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
description="deployment edition",
default="SELF_HOSTED",
)
DEPLOY_ENV: str = Field(
description="Deployment environment (e.g., 'PRODUCTION', 'DEVELOPMENT'), default to PRODUCTION",
description="deployment environment, default to PRODUCTION.",
default="PRODUCTION",
)

View File

@@ -4,17 +4,17 @@ from pydantic_settings import BaseSettings
class EnterpriseFeatureConfig(BaseSettings):
"""
Configuration for enterprise-level features.
Enterprise feature configs.
**Before using, please contact business@dify.ai by email to inquire about licensing matters.**
"""
ENTERPRISE_ENABLED: bool = Field(
description="Enable or disable enterprise-level features."
description="whether to enable enterprise features."
"Before using, please contact business@dify.ai by email to inquire about licensing matters.",
default=False,
)
CAN_REPLACE_LOGO: bool = Field(
description="Allow customization of the enterprise logo.",
description="whether to allow replacing enterprise logo.",
default=False,
)

View File

@@ -1,34 +1,35 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class NotionConfig(BaseSettings):
"""
Configuration settings for Notion integration
Notion integration configs
"""
NOTION_CLIENT_ID: str | None = Field(
description="Client ID for Notion API authentication. Required for OAuth 2.0 flow.",
NOTION_CLIENT_ID: Optional[str] = Field(
description="Notion client ID",
default=None,
)
NOTION_CLIENT_SECRET: str | None = Field(
description="Client secret for Notion API authentication. Required for OAuth 2.0 flow.",
NOTION_CLIENT_SECRET: Optional[str] = Field(
description="Notion client secret key",
default=None,
)
NOTION_INTEGRATION_TYPE: str | None = Field(
description="Type of Notion integration."
" Set to 'internal' for internal integrations, or None for public integrations.",
NOTION_INTEGRATION_TYPE: Optional[str] = Field(
description="Notion integration type, default to None, available values: internal.",
default=None,
)
NOTION_INTERNAL_SECRET: str | None = Field(
description="Secret key for internal Notion integrations. Required when NOTION_INTEGRATION_TYPE is 'internal'.",
NOTION_INTERNAL_SECRET: Optional[str] = Field(
description="Notion internal secret key",
default=None,
)
NOTION_INTEGRATION_TOKEN: str | None = Field(
description="Integration token for Notion API access. Used for direct API calls without OAuth flow.",
NOTION_INTEGRATION_TOKEN: Optional[str] = Field(
description="Notion integration token",
default=None,
)

View File

@@ -1,26 +1,25 @@
from typing import Optional
from pydantic import Field, NonNegativeFloat
from pydantic_settings import BaseSettings
class SentryConfig(BaseSettings):
"""
Configuration settings for Sentry error tracking and performance monitoring
Sentry configs
"""
SENTRY_DSN: str | None = Field(
description="Sentry Data Source Name (DSN)."
" This is the unique identifier of your Sentry project, used to send events to the correct project.",
SENTRY_DSN: Optional[str] = Field(
description="Sentry DSN",
default=None,
)
SENTRY_TRACES_SAMPLE_RATE: NonNegativeFloat = Field(
description="Sample rate for Sentry performance monitoring traces."
" Value between 0.0 and 1.0, where 1.0 means 100% of traces are sent to Sentry.",
description="Sentry trace sample rate",
default=1.0,
)
SENTRY_PROFILES_SAMPLE_RATE: NonNegativeFloat = Field(
description="Sample rate for Sentry profiling."
" Value between 0.0 and 1.0, where 1.0 means 100% of profiles are sent to Sentry.",
description="Sentry profiles sample rate",
default=1.0,
)

File diff suppressed because it is too large Load Diff

View File

@@ -1,65 +1,36 @@
from typing import Optional
from pydantic import Field, NonNegativeInt
from pydantic_settings import BaseSettings
class HostedCreditConfig(BaseSettings):
HOSTED_MODEL_CREDIT_CONFIG: str = Field(
description="Model credit configuration in format 'model:credits,model:credits', e.g., 'gpt-4:20,gpt-4o:10'",
default="",
)
def get_model_credits(self, model_name: str) -> int:
"""
Get credit value for a specific model name.
Returns 1 if model is not found in configuration (default credit).
:param model_name: The name of the model to search for
:return: The credit value for the model
"""
if not self.HOSTED_MODEL_CREDIT_CONFIG:
return 1
try:
credit_map = dict(
item.strip().split(":", 1) for item in self.HOSTED_MODEL_CREDIT_CONFIG.split(",") if ":" in item
)
# Search for matching model pattern
for pattern, credit in credit_map.items():
if pattern.strip() == model_name:
return int(credit)
return 1 # Default quota if no match found
except (ValueError, AttributeError):
return 1 # Return default quota if parsing fails
class HostedOpenAiConfig(BaseSettings):
"""
Configuration for hosted OpenAI service
Hosted OpenAI service config
"""
HOSTED_OPENAI_API_KEY: str | None = Field(
description="API key for hosted OpenAI service",
HOSTED_OPENAI_API_KEY: Optional[str] = Field(
description="",
default=None,
)
HOSTED_OPENAI_API_BASE: str | None = Field(
description="Base URL for hosted OpenAI API",
HOSTED_OPENAI_API_BASE: Optional[str] = Field(
description="",
default=None,
)
HOSTED_OPENAI_API_ORGANIZATION: str | None = Field(
description="Organization ID for hosted OpenAI service",
HOSTED_OPENAI_API_ORGANIZATION: Optional[str] = Field(
description="",
default=None,
)
HOSTED_OPENAI_TRIAL_ENABLED: bool = Field(
description="Enable trial access to hosted OpenAI service",
description="",
default=False,
)
HOSTED_OPENAI_TRIAL_MODELS: str = Field(
description="Comma-separated list of available models for trial access",
description="",
default="gpt-3.5-turbo,"
"gpt-3.5-turbo-1106,"
"gpt-3.5-turbo-instruct,"
@@ -71,17 +42,17 @@ class HostedOpenAiConfig(BaseSettings):
)
HOSTED_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted OpenAI service usage",
description="",
default=200,
)
HOSTED_OPENAI_PAID_ENABLED: bool = Field(
description="Enable paid access to hosted OpenAI service",
description="",
default=False,
)
HOSTED_OPENAI_PAID_MODELS: str = Field(
description="Comma-separated list of available models for paid access",
description="",
default="gpt-4,"
"gpt-4-turbo-preview,"
"gpt-4-turbo-2024-04-09,"
@@ -100,138 +71,124 @@ class HostedOpenAiConfig(BaseSettings):
class HostedAzureOpenAiConfig(BaseSettings):
"""
Configuration for hosted Azure OpenAI service
Hosted OpenAI service config
"""
HOSTED_AZURE_OPENAI_ENABLED: bool = Field(
description="Enable hosted Azure OpenAI service",
description="",
default=False,
)
HOSTED_AZURE_OPENAI_API_KEY: str | None = Field(
description="API key for hosted Azure OpenAI service",
HOSTED_AZURE_OPENAI_API_KEY: Optional[str] = Field(
description="",
default=None,
)
HOSTED_AZURE_OPENAI_API_BASE: str | None = Field(
description="Base URL for hosted Azure OpenAI API",
HOSTED_AZURE_OPENAI_API_BASE: Optional[str] = Field(
description="",
default=None,
)
HOSTED_AZURE_OPENAI_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted Azure OpenAI service usage",
description="",
default=200,
)
class HostedAnthropicConfig(BaseSettings):
"""
Configuration for hosted Anthropic service
Hosted Azure OpenAI service config
"""
HOSTED_ANTHROPIC_API_BASE: str | None = Field(
description="Base URL for hosted Anthropic API",
HOSTED_ANTHROPIC_API_BASE: Optional[str] = Field(
description="",
default=None,
)
HOSTED_ANTHROPIC_API_KEY: str | None = Field(
description="API key for hosted Anthropic service",
HOSTED_ANTHROPIC_API_KEY: Optional[str] = Field(
description="",
default=None,
)
HOSTED_ANTHROPIC_TRIAL_ENABLED: bool = Field(
description="Enable trial access to hosted Anthropic service",
description="",
default=False,
)
HOSTED_ANTHROPIC_QUOTA_LIMIT: NonNegativeInt = Field(
description="Quota limit for hosted Anthropic service usage",
description="",
default=600000,
)
HOSTED_ANTHROPIC_PAID_ENABLED: bool = Field(
description="Enable paid access to hosted Anthropic service",
description="",
default=False,
)
class HostedMinmaxConfig(BaseSettings):
"""
Configuration for hosted Minmax service
Hosted Minmax service config
"""
HOSTED_MINIMAX_ENABLED: bool = Field(
description="Enable hosted Minmax service",
description="",
default=False,
)
class HostedSparkConfig(BaseSettings):
"""
Configuration for hosted Spark service
Hosted Spark service config
"""
HOSTED_SPARK_ENABLED: bool = Field(
description="Enable hosted Spark service",
description="",
default=False,
)
class HostedZhipuAIConfig(BaseSettings):
"""
Configuration for hosted ZhipuAI service
Hosted Minmax service config
"""
HOSTED_ZHIPUAI_ENABLED: bool = Field(
description="Enable hosted ZhipuAI service",
description="",
default=False,
)
class HostedModerationConfig(BaseSettings):
"""
Configuration for hosted Moderation service
Hosted Moderation service config
"""
HOSTED_MODERATION_ENABLED: bool = Field(
description="Enable hosted Moderation service",
description="",
default=False,
)
HOSTED_MODERATION_PROVIDERS: str = Field(
description="Comma-separated list of moderation providers",
description="",
default="",
)
class HostedFetchAppTemplateConfig(BaseSettings):
"""
Configuration for fetching app templates
Hosted Moderation service config
"""
HOSTED_FETCH_APP_TEMPLATES_MODE: str = Field(
description="Mode for fetching app templates: remote, db, or builtin default to remote,",
description="the mode for fetching app templates,"
" default to remote,"
" available values: remote, db, builtin",
default="remote",
)
HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN: str = Field(
description="Domain for fetching remote app templates",
default="https://tmpl.dify.ai",
)
class HostedFetchPipelineTemplateConfig(BaseSettings):
"""
Configuration for fetching pipeline templates
"""
HOSTED_FETCH_PIPELINE_TEMPLATES_MODE: str = Field(
description="Mode for fetching pipeline templates: remote, db, or builtin default to remote,",
default="remote",
)
HOSTED_FETCH_PIPELINE_TEMPLATES_REMOTE_DOMAIN: str = Field(
description="Domain for fetching remote pipeline templates",
description="the domain for fetching remote app templates",
default="https://tmpl.dify.ai",
)
@@ -241,14 +198,11 @@ class HostedServiceConfig(
HostedAnthropicConfig,
HostedAzureOpenAiConfig,
HostedFetchAppTemplateConfig,
HostedFetchPipelineTemplateConfig,
HostedMinmaxConfig,
HostedOpenAiConfig,
HostedSparkConfig,
HostedZhipuAIConfig,
# moderation
HostedModerationConfig,
# credit config
HostedCreditConfig,
):
pass

View File

@@ -1,157 +1,102 @@
import os
from typing import Any, Literal
from urllib.parse import parse_qsl, quote_plus
from typing import Any, Optional
from urllib.parse import quote_plus
from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
from pydantic import Field, NonNegativeInt, PositiveInt, computed_field
from pydantic_settings import BaseSettings
from .cache.redis_config import RedisConfig
from .storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
from .storage.amazon_s3_storage_config import S3StorageConfig
from .storage.azure_blob_storage_config import AzureBlobStorageConfig
from .storage.baidu_obs_storage_config import BaiduOBSStorageConfig
from .storage.clickzetta_volume_storage_config import ClickZettaVolumeStorageConfig
from .storage.google_cloud_storage_config import GoogleCloudStorageConfig
from .storage.huawei_obs_storage_config import HuaweiCloudOBSStorageConfig
from .storage.oci_storage_config import OCIStorageConfig
from .storage.opendal_storage_config import OpenDALStorageConfig
from .storage.supabase_storage_config import SupabaseStorageConfig
from .storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
from .storage.volcengine_tos_storage_config import VolcengineTOSStorageConfig
from .vdb.alibabacloud_mysql_config import AlibabaCloudMySQLConfig
from .vdb.analyticdb_config import AnalyticdbConfig
from .vdb.baidu_vector_config import BaiduVectorDBConfig
from .vdb.chroma_config import ChromaConfig
from .vdb.clickzetta_config import ClickzettaConfig
from .vdb.couchbase_config import CouchbaseConfig
from .vdb.elasticsearch_config import ElasticsearchConfig
from .vdb.huawei_cloud_config import HuaweiCloudConfig
from .vdb.lindorm_config import LindormConfig
from .vdb.matrixone_config import MatrixoneConfig
from .vdb.milvus_config import MilvusConfig
from .vdb.myscale_config import MyScaleConfig
from .vdb.oceanbase_config import OceanBaseVectorConfig
from .vdb.opengauss_config import OpenGaussConfig
from .vdb.opensearch_config import OpenSearchConfig
from .vdb.oracle_config import OracleConfig
from .vdb.pgvector_config import PGVectorConfig
from .vdb.pgvectors_config import PGVectoRSConfig
from .vdb.qdrant_config import QdrantConfig
from .vdb.relyt_config import RelytConfig
from .vdb.tablestore_config import TableStoreConfig
from .vdb.tencent_vector_config import TencentVectorDBConfig
from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
from .vdb.tidb_vector_config import TiDBVectorConfig
from .vdb.upstash_config import UpstashConfig
from .vdb.vastbase_vector_config import VastbaseVectorConfig
from .vdb.vikingdb_config import VikingDBConfig
from .vdb.weaviate_config import WeaviateConfig
from configs.middleware.cache.redis_config import RedisConfig
from configs.middleware.storage.aliyun_oss_storage_config import AliyunOSSStorageConfig
from configs.middleware.storage.amazon_s3_storage_config import S3StorageConfig
from configs.middleware.storage.azure_blob_storage_config import AzureBlobStorageConfig
from configs.middleware.storage.google_cloud_storage_config import GoogleCloudStorageConfig
from configs.middleware.storage.oci_storage_config import OCIStorageConfig
from configs.middleware.storage.tencent_cos_storage_config import TencentCloudCOSStorageConfig
from configs.middleware.vdb.analyticdb_config import AnalyticdbConfig
from configs.middleware.vdb.chroma_config import ChromaConfig
from configs.middleware.vdb.elasticsearch_config import ElasticsearchConfig
from configs.middleware.vdb.milvus_config import MilvusConfig
from configs.middleware.vdb.myscale_config import MyScaleConfig
from configs.middleware.vdb.opensearch_config import OpenSearchConfig
from configs.middleware.vdb.oracle_config import OracleConfig
from configs.middleware.vdb.pgvector_config import PGVectorConfig
from configs.middleware.vdb.pgvectors_config import PGVectoRSConfig
from configs.middleware.vdb.qdrant_config import QdrantConfig
from configs.middleware.vdb.relyt_config import RelytConfig
from configs.middleware.vdb.tencent_vector_config import TencentVectorDBConfig
from configs.middleware.vdb.tidb_vector_config import TiDBVectorConfig
from configs.middleware.vdb.weaviate_config import WeaviateConfig
class StorageConfig(BaseSettings):
STORAGE_TYPE: Literal[
"opendal",
"s3",
"aliyun-oss",
"azure-blob",
"baidu-obs",
"clickzetta-volume",
"google-storage",
"huawei-obs",
"oci-storage",
"tencent-cos",
"volcengine-tos",
"supabase",
"local",
] = Field(
description="Type of storage to use."
" Options: 'opendal', '(deprecated) local', 's3', 'aliyun-oss', 'azure-blob', 'baidu-obs', "
"'clickzetta-volume', 'google-storage', 'huawei-obs', 'oci-storage', 'tencent-cos', "
"'volcengine-tos', 'supabase'. Default is 'opendal'.",
default="opendal",
STORAGE_TYPE: str = Field(
description="storage type,"
" default to `local`,"
" available values are `local`, `s3`, `azure-blob`, `aliyun-oss`, `google-storage`.",
default="local",
)
STORAGE_LOCAL_PATH: str = Field(
description="Path for local storage when STORAGE_TYPE is set to 'local'.",
description="local storage path",
default="storage",
deprecated=True,
)
class VectorStoreConfig(BaseSettings):
VECTOR_STORE: str | None = Field(
description="Type of vector store to use for efficient similarity search."
" Set to None if not using a vector store.",
VECTOR_STORE: Optional[str] = Field(
description="vector store type",
default=None,
)
VECTOR_STORE_WHITELIST_ENABLE: bool | None = Field(
description="Enable whitelist for vector store.",
default=False,
)
VECTOR_INDEX_NAME_PREFIX: str | None = Field(
description="Prefix used to create collection name in vector database",
default="Vector_index",
)
class KeywordStoreConfig(BaseSettings):
KEYWORD_STORE: str = Field(
description="Method for keyword extraction and storage."
" Default is 'jieba', a Chinese text segmentation library.",
description="keyword store type",
default="jieba",
)
class DatabaseConfig(BaseSettings):
# Database type selector
DB_TYPE: Literal["postgresql", "mysql", "oceanbase"] = Field(
description="Database type to use. OceanBase is MySQL-compatible.",
default="postgresql",
)
class DatabaseConfig:
DB_HOST: str = Field(
description="Hostname or IP address of the database server.",
description="db host",
default="localhost",
)
DB_PORT: PositiveInt = Field(
description="Port number for database connection.",
description="db port",
default=5432,
)
DB_USERNAME: str = Field(
description="Username for database authentication.",
description="db username",
default="postgres",
)
DB_PASSWORD: str = Field(
description="Password for database authentication.",
description="db password",
default="",
)
DB_DATABASE: str = Field(
description="Name of the database to connect to.",
description="db database",
default="dify",
)
DB_CHARSET: str = Field(
description="Character set for database connection.",
description="db charset",
default="",
)
DB_EXTRAS: str = Field(
description="Additional database connection parameters. Example: 'keepalives_idle=60&keepalives=1'",
description="db extras options. Example: keepalives_idle=60&keepalives=1",
default="",
)
@computed_field # type: ignore[prop-decorator]
@property
def SQLALCHEMY_DATABASE_URI_SCHEME(self) -> str:
return "postgresql" if self.DB_TYPE == "postgresql" else "mysql+pymysql"
SQLALCHEMY_DATABASE_URI_SCHEME: str = Field(
description="db uri scheme",
default="postgresql",
)
@computed_field # type: ignore[prop-decorator]
@computed_field
@property
def SQLALCHEMY_DATABASE_URI(self) -> str:
db_extras = (
@@ -165,184 +110,91 @@ class DatabaseConfig(BaseSettings):
)
SQLALCHEMY_POOL_SIZE: NonNegativeInt = Field(
description="Maximum number of database connections in the pool.",
description="pool size of SqlAlchemy",
default=30,
)
SQLALCHEMY_MAX_OVERFLOW: NonNegativeInt = Field(
description="Maximum number of connections that can be created beyond the pool_size.",
description="max overflows for SqlAlchemy",
default=10,
)
SQLALCHEMY_POOL_RECYCLE: NonNegativeInt = Field(
description="Number of seconds after which a connection is automatically recycled.",
description="SqlAlchemy pool recycle",
default=3600,
)
SQLALCHEMY_POOL_USE_LIFO: bool = Field(
description="If True, SQLAlchemy will use last-in-first-out way to retrieve connections from pool.",
default=False,
)
SQLALCHEMY_POOL_PRE_PING: bool = Field(
description="If True, enables connection pool pre-ping feature to check connections.",
description="whether to enable pool pre-ping in SqlAlchemy",
default=False,
)
SQLALCHEMY_ECHO: bool | str = Field(
description="If True, SQLAlchemy will log all SQL statements.",
description="whether to enable SqlAlchemy echo",
default=False,
)
SQLALCHEMY_POOL_TIMEOUT: NonNegativeInt = Field(
description="Number of seconds to wait for a connection from the pool before raising a timeout error.",
default=30,
)
RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
description="Number of processes for the retrieval service, default to CPU cores.",
default=os.cpu_count() or 1,
)
@computed_field # type: ignore[prop-decorator]
@computed_field
@property
def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
# Parse DB_EXTRAS for 'options'
db_extras_dict = dict(parse_qsl(self.DB_EXTRAS))
options = db_extras_dict.get("options", "")
connect_args = {}
# Use the dynamic SQLALCHEMY_DATABASE_URI_SCHEME property
if self.SQLALCHEMY_DATABASE_URI_SCHEME.startswith("postgresql"):
timezone_opt = "-c timezone=UTC"
if options:
merged_options = f"{options} {timezone_opt}"
else:
merged_options = timezone_opt
connect_args = {"options": merged_options}
return {
"pool_size": self.SQLALCHEMY_POOL_SIZE,
"max_overflow": self.SQLALCHEMY_MAX_OVERFLOW,
"pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
"pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
"connect_args": connect_args,
"pool_use_lifo": self.SQLALCHEMY_POOL_USE_LIFO,
"pool_reset_on_return": None,
"pool_timeout": self.SQLALCHEMY_POOL_TIMEOUT,
"connect_args": {"options": "-c timezone=UTC"},
}
class CeleryConfig(DatabaseConfig):
CELERY_BACKEND: str = Field(
description="Backend for Celery task results. Options: 'database', 'redis', 'rabbitmq'.",
default="redis",
description="Celery backend, available values are `database`, `redis`",
default="database",
)
CELERY_BROKER_URL: str | None = Field(
description="URL of the message broker for Celery tasks.",
CELERY_BROKER_URL: Optional[str] = Field(
description="CELERY_BROKER_URL",
default=None,
)
CELERY_USE_SENTINEL: bool | None = Field(
description="Whether to use Redis Sentinel for high availability.",
default=False,
)
CELERY_SENTINEL_MASTER_NAME: str | None = Field(
description="Name of the Redis Sentinel master.",
default=None,
)
CELERY_SENTINEL_PASSWORD: str | None = Field(
description="Password of the Redis Sentinel master.",
default=None,
)
CELERY_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
description="Timeout for Redis Sentinel socket operations in seconds.",
default=0.1,
)
@computed_field
@property
def CELERY_RESULT_BACKEND(self) -> str | None:
if self.CELERY_BACKEND in ("database", "rabbitmq"):
return f"db+{self.SQLALCHEMY_DATABASE_URI}"
elif self.CELERY_BACKEND == "redis":
return self.CELERY_BROKER_URL
else:
return None
return (
"db+{}".format(self.SQLALCHEMY_DATABASE_URI)
if self.CELERY_BACKEND == "database"
else self.CELERY_BROKER_URL
)
@computed_field
@property
def BROKER_USE_SSL(self) -> bool:
return self.CELERY_BROKER_URL.startswith("rediss://") if self.CELERY_BROKER_URL else False
class InternalTestConfig(BaseSettings):
"""
Configuration settings for Internal Test
"""
AWS_SECRET_ACCESS_KEY: str | None = Field(
description="Internal test AWS secret access key",
default=None,
)
AWS_ACCESS_KEY_ID: str | None = Field(
description="Internal test AWS access key ID",
default=None,
)
class DatasetQueueMonitorConfig(BaseSettings):
"""
Configuration settings for Dataset Queue Monitor
"""
QUEUE_MONITOR_THRESHOLD: NonNegativeInt | None = Field(
description="Threshold for dataset queue monitor",
default=200,
)
QUEUE_MONITOR_ALERT_EMAILS: str | None = Field(
description="Emails for dataset queue monitor alert, separated by commas",
default=None,
)
QUEUE_MONITOR_INTERVAL: NonNegativeFloat | None = Field(
description="Interval for dataset queue monitor in minutes",
default=30,
)
class MiddlewareConfig(
# place the configs in alphabet order
CeleryConfig, # Note: CeleryConfig already inherits from DatabaseConfig
CeleryConfig,
DatabaseConfig,
KeywordStoreConfig,
RedisConfig,
# configs of storage and storage providers
StorageConfig,
AliyunOSSStorageConfig,
AzureBlobStorageConfig,
BaiduOBSStorageConfig,
ClickZettaVolumeStorageConfig,
GoogleCloudStorageConfig,
HuaweiCloudOBSStorageConfig,
OCIStorageConfig,
OpenDALStorageConfig,
S3StorageConfig,
SupabaseStorageConfig,
TencentCloudCOSStorageConfig,
VolcengineTOSStorageConfig,
S3StorageConfig,
OCIStorageConfig,
# configs of vdb and vdb providers
VectorStoreConfig,
AnalyticdbConfig,
ChromaConfig,
ClickzettaConfig,
HuaweiCloudConfig,
MilvusConfig,
AlibabaCloudMySQLConfig,
MyScaleConfig,
OpenSearchConfig,
OracleConfig,
PGVectorConfig,
VastbaseVectorConfig,
PGVectoRSConfig,
QdrantConfig,
RelytConfig,
@@ -350,17 +202,5 @@ class MiddlewareConfig(
TiDBVectorConfig,
WeaviateConfig,
ElasticsearchConfig,
CouchbaseConfig,
InternalTestConfig,
VikingDBConfig,
UpstashConfig,
TidbOnQdrantConfig,
LindormConfig,
OceanBaseVectorConfig,
BaiduVectorDBConfig,
OpenGaussConfig,
TableStoreConfig,
DatasetQueueMonitorConfig,
MatrixoneConfig,
):
pass

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@@ -1,113 +1,40 @@
from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt
from typing import Optional
from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class RedisConfig(BaseSettings):
"""
Configuration settings for Redis connection
Redis configs
"""
REDIS_HOST: str = Field(
description="Hostname or IP address of the Redis server",
description="Redis host",
default="localhost",
)
REDIS_PORT: PositiveInt = Field(
description="Port number on which the Redis server is listening",
description="Redis port",
default=6379,
)
REDIS_USERNAME: str | None = Field(
description="Username for Redis authentication (if required)",
REDIS_USERNAME: Optional[str] = Field(
description="Redis username",
default=None,
)
REDIS_PASSWORD: str | None = Field(
description="Password for Redis authentication (if required)",
REDIS_PASSWORD: Optional[str] = Field(
description="Redis password",
default=None,
)
REDIS_DB: NonNegativeInt = Field(
description="Redis database number to use (0-15)",
description="Redis database id, default to 0",
default=0,
)
REDIS_USE_SSL: bool = Field(
description="Enable SSL/TLS for the Redis connection",
default=False,
)
REDIS_SSL_CERT_REQS: str = Field(
description="SSL certificate requirements (CERT_NONE, CERT_OPTIONAL, CERT_REQUIRED)",
default="CERT_NONE",
)
REDIS_SSL_CA_CERTS: str | None = Field(
description="Path to the CA certificate file for SSL verification",
default=None,
)
REDIS_SSL_CERTFILE: str | None = Field(
description="Path to the client certificate file for SSL authentication",
default=None,
)
REDIS_SSL_KEYFILE: str | None = Field(
description="Path to the client private key file for SSL authentication",
default=None,
)
REDIS_USE_SENTINEL: bool | None = Field(
description="Enable Redis Sentinel mode for high availability",
default=False,
)
REDIS_SENTINELS: str | None = Field(
description="Comma-separated list of Redis Sentinel nodes (host:port)",
default=None,
)
REDIS_SENTINEL_SERVICE_NAME: str | None = Field(
description="Name of the Redis Sentinel service to monitor",
default=None,
)
REDIS_SENTINEL_USERNAME: str | None = Field(
description="Username for Redis Sentinel authentication (if required)",
default=None,
)
REDIS_SENTINEL_PASSWORD: str | None = Field(
description="Password for Redis Sentinel authentication (if required)",
default=None,
)
REDIS_SENTINEL_SOCKET_TIMEOUT: PositiveFloat | None = Field(
description="Socket timeout in seconds for Redis Sentinel connections",
default=0.1,
)
REDIS_USE_CLUSTERS: bool = Field(
description="Enable Redis Clusters mode for high availability",
default=False,
)
REDIS_CLUSTERS: str | None = Field(
description="Comma-separated list of Redis Clusters nodes (host:port)",
default=None,
)
REDIS_CLUSTERS_PASSWORD: str | None = Field(
description="Password for Redis Clusters authentication (if required)",
default=None,
)
REDIS_SERIALIZATION_PROTOCOL: int = Field(
description="Redis serialization protocol (RESP) version",
default=3,
)
REDIS_ENABLE_CLIENT_SIDE_CACHE: bool = Field(
description="Enable client side cache in redis",
description="whether to use SSL for Redis connection",
default=False,
)

View File

@@ -1,43 +1,45 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class AliyunOSSStorageConfig(BaseSettings):
"""
Configuration settings for Aliyun Object Storage Service (OSS)
Aliyun storage configs
"""
ALIYUN_OSS_BUCKET_NAME: str | None = Field(
description="Name of the Aliyun OSS bucket to store and retrieve objects",
ALIYUN_OSS_BUCKET_NAME: Optional[str] = Field(
description="Aliyun OSS bucket name",
default=None,
)
ALIYUN_OSS_ACCESS_KEY: str | None = Field(
description="Access key ID for authenticating with Aliyun OSS",
ALIYUN_OSS_ACCESS_KEY: Optional[str] = Field(
description="Aliyun OSS access key",
default=None,
)
ALIYUN_OSS_SECRET_KEY: str | None = Field(
description="Secret access key for authenticating with Aliyun OSS",
ALIYUN_OSS_SECRET_KEY: Optional[str] = Field(
description="Aliyun OSS secret key",
default=None,
)
ALIYUN_OSS_ENDPOINT: str | None = Field(
description="URL of the Aliyun OSS endpoint for your chosen region",
ALIYUN_OSS_ENDPOINT: Optional[str] = Field(
description="Aliyun OSS endpoint URL",
default=None,
)
ALIYUN_OSS_REGION: str | None = Field(
description="Aliyun OSS region where your bucket is located (e.g., 'oss-cn-hangzhou')",
ALIYUN_OSS_REGION: Optional[str] = Field(
description="Aliyun OSS region",
default=None,
)
ALIYUN_OSS_AUTH_VERSION: str | None = Field(
description="Version of the authentication protocol to use with Aliyun OSS (e.g., 'v4')",
ALIYUN_OSS_AUTH_VERSION: Optional[str] = Field(
description="Aliyun OSS authentication version",
default=None,
)
ALIYUN_OSS_PATH: str | None = Field(
description="Base path within the bucket to store objects (e.g., 'my-app-data/')",
ALIYUN_OSS_PATH: Optional[str] = Field(
description="Aliyun OSS path",
default=None,
)

View File

@@ -1,4 +1,4 @@
from typing import Literal
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
@@ -6,40 +6,40 @@ from pydantic_settings import BaseSettings
class S3StorageConfig(BaseSettings):
"""
Configuration settings for S3-compatible object storage
S3 storage configs
"""
S3_ENDPOINT: str | None = Field(
description="URL of the S3-compatible storage endpoint (e.g., 'https://s3.amazonaws.com')",
S3_ENDPOINT: Optional[str] = Field(
description="S3 storage endpoint",
default=None,
)
S3_REGION: str | None = Field(
description="Region where the S3 bucket is located (e.g., 'us-east-1')",
S3_REGION: Optional[str] = Field(
description="S3 storage region",
default=None,
)
S3_BUCKET_NAME: str | None = Field(
description="Name of the S3 bucket to store and retrieve objects",
S3_BUCKET_NAME: Optional[str] = Field(
description="S3 storage bucket name",
default=None,
)
S3_ACCESS_KEY: str | None = Field(
description="Access key ID for authenticating with the S3 service",
S3_ACCESS_KEY: Optional[str] = Field(
description="S3 storage access key",
default=None,
)
S3_SECRET_KEY: str | None = Field(
description="Secret access key for authenticating with the S3 service",
S3_SECRET_KEY: Optional[str] = Field(
description="S3 storage secret key",
default=None,
)
S3_ADDRESS_STYLE: Literal["auto", "virtual", "path"] = Field(
description="S3 addressing style: 'auto', 'path', or 'virtual'",
S3_ADDRESS_STYLE: str = Field(
description="S3 storage address style",
default="auto",
)
S3_USE_AWS_MANAGED_IAM: bool = Field(
description="Use AWS managed IAM roles for authentication instead of access/secret keys",
description="whether to use aws managed IAM for S3",
default=False,
)

View File

@@ -1,28 +1,30 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class AzureBlobStorageConfig(BaseSettings):
"""
Configuration settings for Azure Blob Storage
Azure Blob storage configs
"""
AZURE_BLOB_ACCOUNT_NAME: str | None = Field(
description="Name of the Azure Storage account (e.g., 'mystorageaccount')",
AZURE_BLOB_ACCOUNT_NAME: Optional[str] = Field(
description="Azure Blob account name",
default=None,
)
AZURE_BLOB_ACCOUNT_KEY: str | None = Field(
description="Access key for authenticating with the Azure Storage account",
AZURE_BLOB_ACCOUNT_KEY: Optional[str] = Field(
description="Azure Blob account key",
default=None,
)
AZURE_BLOB_CONTAINER_NAME: str | None = Field(
description="Name of the Azure Blob container to store and retrieve objects",
AZURE_BLOB_CONTAINER_NAME: Optional[str] = Field(
description="Azure Blob container name",
default=None,
)
AZURE_BLOB_ACCOUNT_URL: str | None = Field(
description="URL of the Azure Blob storage endpoint (e.g., 'https://mystorageaccount.blob.core.windows.net')",
AZURE_BLOB_ACCOUNT_URL: Optional[str] = Field(
description="Azure Blob account URL",
default=None,
)

View File

@@ -1,28 +0,0 @@
from pydantic import Field
from pydantic_settings import BaseSettings
class BaiduOBSStorageConfig(BaseSettings):
"""
Configuration settings for Baidu Object Storage Service (OBS)
"""
BAIDU_OBS_BUCKET_NAME: str | None = Field(
description="Name of the Baidu OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
default=None,
)
BAIDU_OBS_ACCESS_KEY: str | None = Field(
description="Access Key ID for authenticating with Baidu OBS",
default=None,
)
BAIDU_OBS_SECRET_KEY: str | None = Field(
description="Secret Access Key for authenticating with Baidu OBS",
default=None,
)
BAIDU_OBS_ENDPOINT: str | None = Field(
description="URL of the Baidu OSS endpoint for your chosen region (e.g., 'https://.bj.bcebos.com')",
default=None,
)

View File

@@ -1,63 +0,0 @@
"""ClickZetta Volume Storage Configuration"""
from pydantic import Field
from pydantic_settings import BaseSettings
class ClickZettaVolumeStorageConfig(BaseSettings):
"""Configuration for ClickZetta Volume storage."""
CLICKZETTA_VOLUME_USERNAME: str | None = Field(
description="Username for ClickZetta Volume authentication",
default=None,
)
CLICKZETTA_VOLUME_PASSWORD: str | None = Field(
description="Password for ClickZetta Volume authentication",
default=None,
)
CLICKZETTA_VOLUME_INSTANCE: str | None = Field(
description="ClickZetta instance identifier",
default=None,
)
CLICKZETTA_VOLUME_SERVICE: str = Field(
description="ClickZetta service endpoint",
default="api.clickzetta.com",
)
CLICKZETTA_VOLUME_WORKSPACE: str = Field(
description="ClickZetta workspace name",
default="quick_start",
)
CLICKZETTA_VOLUME_VCLUSTER: str = Field(
description="ClickZetta virtual cluster name",
default="default_ap",
)
CLICKZETTA_VOLUME_SCHEMA: str = Field(
description="ClickZetta schema name",
default="dify",
)
CLICKZETTA_VOLUME_TYPE: str = Field(
description="ClickZetta volume type (table|user|external)",
default="user",
)
CLICKZETTA_VOLUME_NAME: str | None = Field(
description="ClickZetta volume name for external volumes",
default=None,
)
CLICKZETTA_VOLUME_TABLE_PREFIX: str = Field(
description="Prefix for ClickZetta volume table names",
default="dataset_",
)
CLICKZETTA_VOLUME_DIFY_PREFIX: str = Field(
description="Directory prefix for User Volume to organize Dify files",
default="dify_km",
)

View File

@@ -1,18 +1,20 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class GoogleCloudStorageConfig(BaseSettings):
"""
Configuration settings for Google Cloud Storage
Google Cloud storage configs
"""
GOOGLE_STORAGE_BUCKET_NAME: str | None = Field(
description="Name of the Google Cloud Storage bucket to store and retrieve objects (e.g., 'my-gcs-bucket')",
GOOGLE_STORAGE_BUCKET_NAME: Optional[str] = Field(
description="Google Cloud storage bucket name",
default=None,
)
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: str | None = Field(
description="Base64-encoded JSON key file for Google Cloud service account authentication",
GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: Optional[str] = Field(
description="Google Cloud storage service account json base64",
default=None,
)

View File

@@ -1,28 +0,0 @@
from pydantic import Field
from pydantic_settings import BaseSettings
class HuaweiCloudOBSStorageConfig(BaseSettings):
"""
Configuration settings for Huawei Cloud Object Storage Service (OBS)
"""
HUAWEI_OBS_BUCKET_NAME: str | None = Field(
description="Name of the Huawei Cloud OBS bucket to store and retrieve objects (e.g., 'my-obs-bucket')",
default=None,
)
HUAWEI_OBS_ACCESS_KEY: str | None = Field(
description="Access Key ID for authenticating with Huawei Cloud OBS",
default=None,
)
HUAWEI_OBS_SECRET_KEY: str | None = Field(
description="Secret Access Key for authenticating with Huawei Cloud OBS",
default=None,
)
HUAWEI_OBS_SERVER: str | None = Field(
description="Endpoint URL for Huawei Cloud OBS (e.g., 'https://obs.cn-north-4.myhuaweicloud.com')",
default=None,
)

View File

@@ -1,33 +1,35 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class OCIStorageConfig(BaseSettings):
"""
Configuration settings for Oracle Cloud Infrastructure (OCI) Object Storage
OCI storage configs
"""
OCI_ENDPOINT: str | None = Field(
description="URL of the OCI Object Storage endpoint (e.g., 'https://objectstorage.us-phoenix-1.oraclecloud.com')",
OCI_ENDPOINT: Optional[str] = Field(
description="OCI storage endpoint",
default=None,
)
OCI_REGION: str | None = Field(
description="OCI region where the bucket is located (e.g., 'us-phoenix-1')",
OCI_REGION: Optional[str] = Field(
description="OCI storage region",
default=None,
)
OCI_BUCKET_NAME: str | None = Field(
description="Name of the OCI Object Storage bucket to store and retrieve objects (e.g., 'my-oci-bucket')",
OCI_BUCKET_NAME: Optional[str] = Field(
description="OCI storage bucket name",
default=None,
)
OCI_ACCESS_KEY: str | None = Field(
description="Access key (also known as API key) for authenticating with OCI Object Storage",
OCI_ACCESS_KEY: Optional[str] = Field(
description="OCI storage access key",
default=None,
)
OCI_SECRET_KEY: str | None = Field(
description="Secret key associated with the access key for authenticating with OCI Object Storage",
OCI_SECRET_KEY: Optional[str] = Field(
description="OCI storage secret key",
default=None,
)

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